The usage of new and progressive technologies brings with it new types of security threats and security incidents. Their number is constantly growing.The current trend is to move from reactive to proactive activities. For this reason, the organization should be aware of the current security situation, including the forecasting of the future state. The main goal of organizations, especially their security operation centres, is to handle events, identify potential security incidents, and effectively forecast the (...) class='Hi'>network security situation awareness (NSSA). In this paper, we focus on increasing the efficiency of utilization of this part of cybersecurity. The paper’s main aim is to compare selected statistical models and models based on neural networks to find out which models are more suitable for NSSA forecasting. Based on the analysis provided in this paper, neural network methods prove a more accurate alternative than classical statistical prediction models in NSSA forecasting. In addition, the paper analyses the selection criteria and suitability of time series, which do not only reflect information about the total number of security events but represent a category of security event (e.g. recon scanning), port or protocol. (shrink)

Internet-of-Things (IoT) creates a significant impact in spectrum sensing, information retrieval, medical analysis, traffic management, etc. These applications require continuous information to perform a specific task. At the time, various intermediate attacks such as jamming, priority violation attacks, and spectrum poisoning attacks affect communication because of the open nature of wireless communication. These attacks create security and privacy issues while making data communication. Therefore, a new method autoencoder deep neural network (AENN) is developed by considering exploratory, evasion, causative, (...) and priority violation attack. The created method classifies the transmission outcomes used to predict the transmission state, whether it is jam data transmission or sensing data. After that, the sensing data is applied for network training that predicts the intermediate attacks. In addition to this, the channel access algorithm is used to validate the channel for every access that minimizes unauthorized access. After validating the channel according to the neural network, data have been transmitted over the network. The defined process is implemented, and the system minimizes different attacks on various levels of energy consumption. The effectiveness of the system is implemented using TensorFlow, and the system ensures the 99.02% of detection rate when compared with other techniques. (shrink)

In recent years, network security has become a major concern. Using the Internet to store and analyze data has become an integral aspect of the production and operation of many new and traditional enterprises. However, many enterprises lack the necessary resources to secure information security, and selecting the best network security service provider has become a real issue for many enterprises. This research introduces a novel decision-making method utilizing the 2-tuple linguistic complex q-rung orthopair fuzzy (...) numbers to tackle this issue. We propose the 2TLCq-ROF concept by combining the complex q-rung orthopair fuzzy set with 2-tuple linguistic terms, including the fundamental definition, operational rules, scoring, and accuracy functions. Aggregation operators are the fundamental mathematical approach used to combine various inputs into a single output. Taking into account the interaction between the attributes, we develop the 2TLCq-ROF Hamacher operators by using the innovative operational rules. These operators include the 2TLCq-ROFH weighted average, 2TLCq-ROFH ordered weighted average, 2TLCq-ROFH hybrid average, 2TLCq-ROFH weighted geometric, 2TLCq-ROFH ordered weighted geometric, and 2TLCq-ROFH hybrid geometric operators. In addition, we talk about the properties of 2TLCq-ROFH operators such as idempotency, commutativity, monotonicity, and boundedness and also examine their spatial cases. To tackle the problems of the 2TLCq-ROF multiattribute group decision-making environment, we develop a novel approach according to the COPRAS model. Finally, to validate the feasibility of the given strategy, we employ a quantitative example related to select the best network security service provider. In comparison with existing approaches, the developed decision-making algorithm is most extensively used and reduces the loss of information. (shrink)

Due to the complexity and versatility of network security alarm data, a cloud-based network security data extraction method is proposed to address the inability to effectively understand the network security situation. The information properties of the situation are generated by creating a set of spatial characteristics classification of network security knowledge, which is then used to analyze and optimize the processing of hybrid network security situation information using cloud computing technology (...) and co-filtering technology. Knowledge and information about the security situation of a hybrid network has been analyzed using cloud computing strategy. The simulation results show that a cyber security crash occurs in window 20, after which the protection index drops to window 500. The increase in the security index of 500 windows is consistent with the effectiveness of the concept of this document method, indicating that this document method can sense changes in the network security situation. Starting from the first attacked window, the defense index began to decrease. In order to simulate the added network defense, the network security events in the 295th time window were reduced in the original data, and the defense index increased significantly in the corresponding time period, which is consistent with the method perception results, which further verifies the effectiveness and reliability of this method on the network security event perception. This method provides high-precision knowledge of network security situations and improves the security and stability of cloud-based networks. (shrink)

In recent years, the network has become more complex, and the attacker’s ability to attack is gradually increasing. How to properly understand the network security situation and improve network security has become a very important issue. In order to study the method of extracting information about the security situation of the network based on cloud computing, we recommend the technology of knowledge of the network security situation based on the data extraction (...) technology. It converts each received cyber security event into a standard format that can be defined as multiple brochures, creating a general framework for the cyber security situation. According to the large nature of network security situation data, the Hadoop platform is used to extract aggregation rules, and perform model extraction, pattern analysis, and learning on a network security event dataset to complete network security situation rule mining, and establish a framework for assessing the state of network security. According to the results of the federal rule extraction, the level of network node security risk is obtained in combination with signal reliability, signal severity, resource impact, node protection level, and signal recovery factor. A simulation test is performed to obtain the intrusion index according to the source address of the network security alarm. Through the relevant experiments and analysis of the results, the attack characteristics obtained in this study were obtained after manually reducing the network security event in the 295 h window. The results show that after the security event is canceled, the corresponding window attack index decreases to 0, indicating that this method can effectively implement a network security situation awareness. The proposed technique allows you to accurately sense changes in network security conditions. (shrink)

NEMO means Network Mobility which is the extension of Mipv6 and it is invented for accessing internet for the group of people when they are travelling in Vehicle as Network group. During handoff while exchanging Binding Updates between the Mobile Network Node, Correspondent Node and Home Agent, many security threats are present during those messages exchange. It may prone to several standard malicious attacks on the BU and Binding Acknowledgement. An efficient end-to-end security method is (...) required to protect the BU Exchange between MNN, HA and CN. In this paper, a secure architecture is proposed to provide authentication and confidentiality at each level of communication using a 3-Party Key Exchange called 3-PKE-NEMO with the help of Bilinear Pairing Theorem. Handoff delay is reduced without compromising security strength. The whole experimentation of this proposed work is carried out using NS2 simulation tool and authentication proof is given using BAN logic between all the nodes in NEMO. The proposed security architecture is compared with related existing solutions and found to be more secure. (shrink)

The philosophical literature on personal relationships is focused on dyads: close relationships between just two people. This paper aims to characterise the value of looser and larger relational networks, particularly from the perspective of liberal political theory. We focus on relational networks' value vis-a-vis the important good of felt security. We begin by characterising felt security and analysing how felt security is produced within dyads. We highlight the ambivalent nature of dyadic relationships as a source of felt (...) security. We then theorise relational networks, explaining how they too can provide felt security. We explore three unappreciated benefits that arise when felt security is garnered from a network, rather than from a dyad. These benefits take liberal political theory as their starting point. We close by considering the implications - for both individual action and institutional design - of using relational networks as a source of felt security. (shrink)

Social networking sites have challenged ethical issues about users’ information security and privacy. SNS users are concerned about their privacy and need to control the information they share and its use. This paper examines the security of SNS by taking a look at the influence of users’ perceived control of information over their information-sharing behaviors. Employing an empirical study, this paper demonstrates the importance of perceived control in SNS users’ information-sharing behaviors. Specifically, perceived control has been found to (...) be negatively related to perceived privacy risk and attitude toward information sharing, which in turn has an impact on their information-sharing behaviors. In addition, gender has been shown to be an important factor that moderates the influences of both perceived control and perceived privacy risk on SNS users’ attitudes toward information sharing. Theoretical and practical implications are discussed. (shrink)

This work presents a system to detect small boats to help tackle the problem of this type of perilous immigration. The proposal makes extensive use of emerging technologies like Unmanned Aerial Vehicles combined with a top-performing algorithm from the field of artificial intelligence known as Deep Learning through Convolutional Neural Networks. The use of this algorithm improves current detection systems based on image processing through the application of filters thanks to the fact that the network learns to distinguish the (...) aforementioned objects through patterns without depending on where they are located. The main result of the proposal has been a classifier that works in real time, allowing the detection of pateras and people, kilometres away from the coast. This could be very useful for Search and Rescue teams in order to plan a rescue before an emergency occurs. Given the high sensitivity of the managed information, the proposed system includes cryptographic protocols to protect the security of communications. (shrink)

With the development of distributed networks, the remote controllability of the distributed energy objects and the vulnerability of user-side information security protection measures make distributed energy objects extremely vulnerable to malicious control by attackers. Hence, the large-scale loads may produce abnormal operation performance, such as load casting/dropping synchronously or frequent and synchronous casting and dropping, and hence, it can threaten the security and stable operation of the distribution networks. First, we analyze the security threats faced by industrial (...) controllable load, civil controllable load, and the gains and losses of attacks on the distribution networks. Considering the factors of cyber attacks, we propose a control model and cyber attack model in active distribution networks. And, three types of attacks that the target suffered are defined on the basis of “on” and “off” modes for control. Then, the controllable load was maliciously controlled as the research object, and a suitable scenario is selected. The impact of malicious control of the controllable load on the power supply reliability and power quality of the distribution networks are simulated and analyzed, and risk consequences for different types of attacks are provided. (shrink)

For a better detection in Network information security monitoring system, the author proposes a method based on adaptive depth detection. A deep belief network was designed and implemented, and the intrusion detection system model was combined with a support vector machine. The data set adopts the NSL-KDD network communication data set, and this data set is authoritative in the security field. Redundant cleaning, data type conversion, normalization, and other processing operations are performed on the data (...) set. Using the data conversion method based on the probability mass function probability mass function coding, a standard data set with low redundancy and low dimensionality can be obtained. Research indicates that when the batch size reaches 64, the accuracy of the test set reaches its maximum value. As the batch size increases, the accuracy first increases and then decreases. When the batch size continues to increase, the model will inevitably fall into the local optimal state, resulting in the degradation of the detection performance of the system. In terms of the false alarm rate, the DBN-SVM model is also the highest; however, it is only 10.73%. Under the premise of increasing the detection rate, the false alarm rate is improved; for the overall detection performance of the model, it is within an acceptable range. In terms of accuracy, the DBN-SVM model also scored the highest. The accuracy rate is the ratio of normal and correct classification for intrusion detection. It can explain the detection ability of the model. In summary, the overall detection ability of the DBN-SVM model is the best. The good classification ability to use SVM is proved, and the classification of low-dimensional features is expected to increase the detection rate of the system. (shrink)

Security police, state security services, security measures, security politics…a dreadful semantic chain. Everything stubbornly conservative, repressive, antithetical to freedom is expressed in the concept of security. The meaning always implies security for an established order against whatever seems to threaten, disturb or endanger it from without or from within. One can secure, reassure, insure or protect Movements, associations and networks within which a part of the population unites spontaneously can be channeled, controlled or combatted. (...) Peace, order and security are implied. Negativity is to be negated in the name of the “actually existing.” The striving for security is in fact opposed to the striving of all living beings toward self development. (shrink)

The security of the civil aviation network is closely related to flight safety. Security situation prediction is the advanced stage of situational awareness in the civil aviation network. In this article, a prediction approach of security situations for the air traffic management network is proposed on the basis of the wavelet neural network. The proposed approach adopts the wavelet theory and neural network, combining a time-series forecasting method for the prediction of (...) class='Hi'>security situations in the civil aviation network. The experimental results show that this approach has the advantages of fast training and high prediction accuracy. (shrink)

This paper offers one explanation for the institutional basis of food insecurity in Australia, and argues that while alternative food networks and the food sovereignty movement perform a valuable function in building forms of social solidarity between urban consumers and rural producers, they currently make only a minor contribution to Australia’s food and nutrition security. The paper begins by identifying two key drivers of food security: household incomes (on the demand side) and nutrition-sensitive, ‘fair food’ agriculture (on the (...) supply side). We focus on this second driver and argue that healthy populations require an agricultural sector that delivers dietary diversity via a fair and sustainable food system. In order to understand why nutrition-sensitive, fair food agriculture is not flourishing in Australia we introduce the development economics theory of urban bias. According to this theory, governments support capital intensive rather than labour intensive agriculture in order to deliver cheap food alongside the transfer of public revenues gained from rural agriculture to urban infrastructure, where the majority of the voting public resides. We chart the unfolding of the Urban Bias across the twentieth century and its consolidation through neo-liberal orthodoxy, and argue that agricultural policies do little to sustain, let alone revitalize, rural and regional Australia. We conclude that by observing food system dynamics through a re-spatialized lens, Urban Bias Theory is valuable in highlighting rural–urban socio-economic and political economy tensions, particularly regarding food system sustainability. It also sheds light on the cultural economy tensions for alternative food networks as they move beyond niche markets to simultaneously support urban food security and sustainable rural livelihoods. (shrink)

Nowadays, there has been an increase in security concerns regarding fingerprint biometrics. This problem arises due to technological advancements in bypassing and hacking methodologies. This has sparked the need for a more secure platform for identification. In this paper, we have used a deep Convolutional Neural Network as a pre-verification filter to filter out bad or malicious fingerprints. As deep learning allows the system to be more accurate at detecting and reducing false identification by training itself again and (...) again with test samples, the proposed method improves the security and accuracy by multiple folds. The implementation of a novel secure fingerprint verification platform that takes the optical image of a fingerprint as input is explained in this paper. The given input is pre-verified using Google’s pre-trained inception model for deep learning applications, and then passed through a minutia-based algorithm for user authentication. Then, the results are compared with existing models. (shrink)

Purpose This paper aims to study the developed countries’ experience on the cyberbullying legal regulation among adolescents, to identify existing shortcomings in the developing countries’ laws and to develop recommendations for regulatory framework improvement. Design/methodology/approach The authors have studied the state regulatory practice of the UK, the USA, Canada, Malaysia, South Africa, Turkey, UAE and analyzed the statistics of 2018 on the cyberbullying manifestation among adolescents in these countries. Findings The study results can encourage countries to create separate cyberbullying legislation (...) and periodically review and modify already existing legislation. Originality/value The study provides a list of the recommendations to regulate cybercrime in developing countries and prevent it as well. The results may contribute to creating laws related to the regulation of cyberbullying in countries where such legislation does not exist yet or existing regulatory legal acts do not bring the expected results, namely, in Post-Soviet countries and other developing countries of the world. (shrink)

An intelligent climate and watering agriculture system is presented that is controlled with Android application for smart water consumption considering small and medium ruler agricultural fields. Data privacy and security as a big challenge in current Internet of Things (IoT) applications, as with the increase in number of connecting devices, these devices are now more vulnerable to security threats. An intelligent fuzzy logic and blockchain technology is implemented for timely analysis and securing the network. The proposed design (...) consists of various sensors that collect real-time data from environment and field such as temperature, soil moisture, light intensity, and humidity. The sensed field information is stored in IoT cloud platform, and after the analysis of entries, watering is scheduled by implementing the intelligent fuzzy logic and blockchain. The intelligent fuzzy logic based on different set of rules for making smart decisions to meet the watering requirements of plant and blockchain technology provides necessary security to the IoT-enabled system. The implementation of blockchain technology allows access only to the trusted devices and manages the network. From the experimentation, it is observed that the proposed system is highly scalable and secure. Multiple users at the same time can monitor and interact with the system remotely by using the proposed intelligent agricultural system. The decisions are taken by applying intelligent fuzzy logic based on input variables, and an alert is transmitted about watering requirements of a field to the user. The proposed system is capable of notifying users for turning water motor on and off. The experimental outcomes of the proposed system also reveal that it is an efficient and highly secure application, which is capable of handling the process of watering the plants. (shrink)

Internet of Things-based environments pose various challenges due to their anytime/anywhere computing, and the efficient cryptographic based key management is one of the major challenges in Internet of Things. The key management life cycle consists of initialization, key generation, key registration, key backup, key update, key recovery, and key revocation. Our contribution in this paper is to summarize the state-of-the-art key management schemes and techniques in different scenarios, such as mobile ad hoc networks, wireless sensor networks, and the Internet of (...) Things environments. Further different issues related specifically to the Internet of Things environment are discussed and the causes and effects pertaining to the security breach for Internet of Things are identified. Furthermore, in this research work, we develop a novel permutation of threshold and identity-based key management schemes for the Internet of Things environment and have proposed future directions to counteract the attacks on confidentiality, integrity, authentication, and availability of security services in the Internet of Things environment and identified the two key management schemes, that is, identity and threshold schemes for Internet of Things, to resolve Internet of Things key management issues and maximum possible security services effective implementation. We evaluate our scheme with the help of mathematical and statistical techniques. (shrink)

This essay addresses the new phenomenon of network warfare as a realisation of modernity's inner potential and surprising capacities rather than its failure. A feature of the complex capillaries of global governance, network warfare has been endemic for some time in many border regions of the world and reflects an increasing conflation of development and security.

Purpose This study aims to ascertain the impact of data collecting awareness on perceived information security concerns and information-sharing behavior on social networking sites. Design/methodology/approach Based on communication privacy management theory, the study forecasted the relationship between information-sharing behavior and awareness of data collecting purposes, data collection tactics and perceived security risk using structural equation modeling analysis and one-way ANOVA. The sample size of 521 young social media users in Vietnam, ages 18 to 34, was made up of (...) 26.7% men and 73.3% women. When constructing the questionnaire survey method with lone source respondents, the individual’s unique awareness and experiences with using online social networks (OSNs) were taken into account. Findings The results of the investigation demonstrate a significant relationship between information-sharing and awareness of data collecting, perceptions of information security threats and behavior. Social media users have used OSN privacy settings and paid attention to the sharing restriction because they are concerned about data harvesting. Research limitations/implications This study was conducted among young Vietnamese social media users, reflecting specific characteristics prevalent in the Vietnamese environment, and hence may be invalid in other nations’ circumstances. Practical implications Social media platform providers should improve user connectivity by implementing transparent privacy policies that allow users to choose how their data are used; have clear privacy statements and specific policies governing the use of social media users’ data that respect users’ consent to use their data; and thoroughly communicate how they collect and use user data while promptly detecting any potential vulnerabilities within their systems. Originality/value The authors ascertain that the material presented in this manuscript will not infringe upon any statutory copyright and that the manuscript will not be submitted elsewhere while under Journal of Information, Communication and Ethics in Society review. (shrink)

This aricle discusses the similarity between the propagation of pathogens (viruses and worms) on computer networks and the proliferation of pathogens in cellular organisms (organisms with genetic material contained within a membrane-encased nucleus). It introduces several biological mechanisms which are used in these organisms to protect against such pathogens and presents security models for networked computers inspired by several biological paradigms, including genomics (RNA interference), proteomics (pathway mapping), and physiology (immune system). In addition, the study of epidemiological models for (...) disease control can inspire methods for controlling the spread of pathogens across multiple nodes of a network. It also presents results based on the authors’ research in immune system modeling. (shrink)

In order to correct the deficiencies of intrusion detection technology, the entire computer and network security system are needed to be more perfect. This work proposes an improved k-means algorithm and an improved Apriori algorithm applied in data mining technology to detect network intrusion and security maintenance. The classical KDDCUP99 dataset has been utilized in this work for performing the experimentation with the improved algorithms. The algorithm’s detection rate and false alarm rate are compared with the (...) experimental data before the improvement. The outcomes of proposed algorithms are analyzed in terms of various simulation parameters like average time, false alarm rate, absolute error as well as accuracy value. The results show that the improved algorithm advances the detection efficiency and accuracy using the designed detection model. The improved and tested detection model is then applied to a new intrusion detection system. After intrusion detection experiments, the experimental results show that the proposed system improves detection accuracy and reduces the false alarm rate. A significant improvement of 90.57% can be seen in detecting new attack type intrusion detection using the proposed algorithm. (shrink)

This article argues for an extension to the scope of corporate social responsibility (CSR) research to include a contemporary issue of importance to national and global security, critical infrastructure resilience. Rather than extending the multiple perspectives on CSR, this study aimed to identify a method of recognising CSR-related issues, before applying it to two dissimilar case studies on critical infrastructure resilience. One case study was of an international telecommunications company based in the US while the other was of the (...) railway network in Britain during a period of privatisation. The method used was derived from Okoye’s (J Bus Ethics 89(4):613–627, 2009 ) common reference core for CSR. Both case studies satisfied all the criteria sought which points to critical infrastructure resilience as being an emerging CSR issue. Because ongoing change characterises CSR, the method may have application for identifying future new CSR strands. As the findings suggest that some aspects of national and global security are CSR-related phenomena, the study demonstrates how CSR research may be significant at a societal, national and global level. Implications of the study include a broadening of the value and reach of contributions from CSR researchers and practitioners. (shrink)

More than a decade has passed since the tragic events that took place in America in the dramatic day of September 9th 2001. For the first time since the end of the second World War, the United States were being attacked on their own territory, without prior notice, by a non-state military force which was globally organised, for religious and ideological reasons. The terrorist attacks planned and executed by the terrorist organisation Al-Qaeda on American military and civilian targets have reconfigured (...) the international security environment. The author remarks that the security of the European continent is inextricably linked to what happens outside its external borders. Transnational organized crime, illegal human trafficking, illegal migration, traffic of drug, weapons, ammunition and portable vectors, the proliferation of illegal trade of radioactive and other "sensible" technologies, the expansion of terrorist networks – they all represent threats to the Eastern border of Romania and concern the security of the EU Eastern neighbourhood. (shrink)

This paper identifies two conceptions of security in contemporary concerns over the vulnerability of computers and networks to hostile attack. One is derived from individual-focused conceptions of computer security developed in computer science and engineering. The other is informed by the concerns of national security agencies of government as well as those of corporate intellectual property owners. A comparative evaluation of these two conceptions utilizes the theoretical construct of “securitization,”developed by the Copenhagen School of International Relations.

Blockchain technology applied to cryptocurrencies is the dominant factor in maintaining the security of cryptocurrencies. This article reviews the technological implementation of cryptocurrency and the security and stability of cryptocurrency and analyzes the security support from blockchain technology and its platforms based on empirical case studies. Our results show that the security support from blockchain technology platforms is significantly insufficient and immature. In addition, we further Zyskind and Nathan and Choi and find that the top ten (...) platforms play critical roles in security support and have significant advantages in terms of funds, duration, and human resources. Moreover, these platforms provide computational resources and benefits to the consensus algorithm selection for blockchain practitioners. Second, encryption ensures the security of cryptocurrencies. On the one hand, the digital signatures identify the identity of the signatory and the transaction. However, the principle of the hash algorithm confirms ownership. Meanwhile, SHA256 is infeasible to compute in the reverse direction and is difficult to attack. Furthermore, the records in the blockchain can be queried by every participant, making the system information transparent and open reliable. Third, compared to the study of Fu and Fang 2016, we find that the blockchain structure is composed of security components and basic components of six layers that are independent and cannot be extended completely and have a certain coupling among them. Fourth, the underlying ledger structures of Bitcoin and DAG are highly correlated to their security. Specifically, we follow Sompolinsky et al. and detect that the structure of SPECTRE ensures network security and robustness from its block production, conflict resolution, and generated trusted transaction sets. Meanwhile, the voting algorithm of SPECTRE makes resolving conflicting transactions by calculating votes and ensuring the transaction information that is virtually unable to be tampered with possible. In particular, the security calculation power of SPECTRE can reach 51% and resist “double-spend attacks” and “censorship attacks” effectively. In addition, the RDL framework of SPECTRE achieves security confirmation of transferring funds. Moreover, PHANTOM identifies evil blocks by employing block connectivity analysis and ensures its security. Eventually, we also expand the studies of and compare the basic characteristics of the protocols of Bitcoin, SPECTRE, and PHANTOM and find that protocols play imperative roles throughout the implementation process of cryptocurrency. In addition, the underlying ledger structure and consensus mechanism make up a blockchain while the confirmation time, throughput limit, and ordering are prerequisites for smart contracts. (shrink)

This empirical research applies cointegration in the traditional measurement method first to build directed weighted networks in the context of stock market. Then, this method is used to design the indicators and the value simulation for measuring network fluctuation and studying the dynamic evolution mechanism of stock market transaction networks as affected by price fluctuations. Finally, the topological structure and robustness of the network are evaluated. The results show that network structure stability is strong in the bull (...) market stage and weak in the bear market stage. And the convergence rate of the dynamic evolution of network fluctuation is higher in the bull market stage than in the bear market stage. (shrink)

Smart grids are designed to revolutionize the energy sector by creating a smarter, more efficient and reliable power supply network. The rise of smart grids is a response to the need for a more comprehensive and sophisticated energy system that caters to the needs of homes and businesses. Key features of smart grids include the integration of renewable energy sources, decentralized generation and advanced distribution networks. At the heart of smart grids is a sophisticated metering system, consisting of intelligent (...) electronic devices that measure energy consumption and enable two-way communication between the utility company and the consumer. The information exchanged via these devices is critical, as it includes sensitive data such as energy consumption patterns and billing information. With the rise of the Internet of Things (IoT) and Industry 4.0, the security of this information is of utmost importance. This paper delves into the security challenges faced by advanced metering infrastructure (AMI) and highlights the crucial role played by cryptography in ensuring the secure exchange of sensitive information. Cryptographic protocols such as encryption, authentication and digital signatures are essential components of a secure smart grid infrastructure. These protocols work together to ensure the confidentiality, integrity and authenticity of the information exchanged between the utility company and the consumer. (shrink)

The evaluation index system of ecological security of marine ranching is based on the assumption that there is independence among evaluation indexes in the existing studies, which ignores the complex interactive paths of marine ranching as an artificial ecosystem. In this study, the MRES evaluation network model that includes interdependent relationships is established based on the Driver-Pressure-State-Impact-Response model and the analytic network process method. Then, the probabilistic linguistic term sets and analytic network process methods are used (...) to calculate the weights of the evaluation indexes of MRES. The overall evaluation value and the contribution rate of clusters are consequently defined and analyzed to reflect the performance of MRES. Finally, a case study is carried out for evaluating the MRES of marine ranches in Rongcheng by means of the proposed method. The conclusions are summarized as follows: The weights of clusters are ranked as Responses > Impact > Driver > State > Pressure, and “scientific management of fishery resources” is the most important index; the MRES performance of marine ranches in the city of Rongcheng is at the medium security grade on the whole, and all 11 samples are driven by the response. (shrink)

The evolution of wireless communications, from the first to the fifth generation, has driven Internet of Things (IoT) advancements. IoT is transforming sectors like agriculture, healthcare, and transportation, but also presents challenges like spectrum bandwidth demand, speed requirements, and security issues. IoT environments, with embedded sensors and actuators, connect to other devices to transmit and receive data over the internet. These data are processed locally or in the cloud, enabling decision-making and automation. Various wireless technologies, including Bluetooth, Zigbee, LoRa, (...) and WiFi, cater to specific IoT applications. 5G, with its high speeds, low latency, and efficient bandwidth sharing, is ideal for high-speed data transmission, and thus it provides robust infrastructure for low-latency and bandwidth-sensitive applications. This latest mobile network technology is being rapidly implemented worldwide, providing unprecedented throughput and low latency, which are crucial for the IoT. This paper presents a comprehensive systematic review on 5G security features, vulnerabilities, threats to mobile devices, security in IoT devices, common attacks to IoT devices and protection of data in this environment. Despite enhanced security, 5G faces challenges like Distributed Denial of Service (DDoS), Man In The Middle (MITM), cross-slice disruptions, and side-channel attacks. (shrink)

Connected devices, such as smartphones and tablets, are exposed to a large variety of attacks. Their protection is often challenged by their resource constraints in terms of CPU, memory and energy. Security chains, composed of security functions such as firewalls, intrusion detection systems and data leakage prevention mechanisms, offer new perspectives to protect these devices using software-defined networking and network function virtualization. However, the complexity and dynamics of these chains require new automation techniques to orchestrate them. This (...) chapter describes an automated orchestration methodology for security chains in order to secure connected devices and their applications. This methodology exploits process learning to establish behavioral models and infer security constraints represented as logical predicates. It then generates and merges a set of chains of security functions on the basis of these predicates. These chains are finally compiled into low-level configuration rules and deployed into the network, optimizing for the underlying topology. The benefits and limits of such a methodology combining machine learning and verification techniques are evaluated by a set of experimental results. (shrink)

The term ‘food security’ has been used in multiple ways and addresses not only issues around availability and accessibility of foods, but also, among others, the sustainability of livelihoods at the local community level—an issue often seen as a basis for the proliferation of local and alternative food networks. Accordingly, in this paper we attempt to develop a theoretical re-framing that is able to link food security with AFNs in arguing that the understanding of the two notions is (...) dynamics and contingent upon the elements that construct them. We use an assemblage approach to analyze a case of Dunedin, a small-size city in New Zealand, in which the community aims to achieve food security through a local food strategy. Through a series of interviews with a group of food activists and academics, public discussions, and two local food forums, we found that food security was understood and performed in its local context through assembling diverse actors and objectives within the AFN. In conclusion, we offer assemblage thinking as an analytical tool to understand how seemingly precarious local food relations are stabilized and assembled so as to open possibilities of achieving food security. (shrink)

Do hard law international organizations use jurisprudence differently than soft law ones? Precedent can be asset or an encumbrance to international organizations and their members, depending on their aims and on the policy area. Linking current decisions to previously-agreed ones helps to increase cohesion, facilitate consensus among members, and borrow authority – benefits that might be more necessary for some organizations than for others. To compare whether the features of norm-producing organizations correlate with their preference for jurisprudence, we compare two (...) organs from the United Nations system: the Security Council, which produces binding decisions, and the General Assembly, which delivers soft law resolutions. We explore the citation networks formed by the approximately 20,400 resolutions adopted by each organ between 1946 and 2019 to test their differences with regards to the dynamics of citation formation, concentration of citations, and timing. Descriptive results reveal the main periods of jurisprudential activity by the Security Council and the General Assembly, but find no sizeable difference in their overall rate of precedent usage. We apply the Citation Exponential Random Graph Model (cERGM) to test for network determinants of citations and find additional similarities on transitivity and homophily, but also variations regarding preferential attachment. (shrink)

Biometrics readers are deployed in many public sites and are used for user identification and verification. Nowadays, most biometrics readers can be connected to local area networks, and consequently, they are potential targets for network attacks. This article investigates the robustness of several fingerprint and iris readers against common denial of service attacks. This investigation has been conducted using a set of laboratory experiments and DoS attack generator tools. The experiments show clearly that the tested biometric readers are very (...) vulnerable to common DoS attacks, and their recognition performances deteriorate significantly once they are under DoS attacks. Finally, the article lists some security consideration that should be taken into consideration when designing secure biometrics readers. (shrink)

Urban agriculture is an important source of food and income throughout Africa. The majority of cultivators on the continent are women who use urban agriculture to provide for their family. Much research on urban agriculture in Africa focuses on the material benefits of urban agriculture for women, but a smaller body of literature considers its social and psychological empowering effects. The present study seeks to contribute to this debate by looking at the ways in which urban agriculture empowers women on (...) the Cape Flats, a region of Cape Town where urban agriculture is supported by nongovernmental organisations. Based on interviews with cultivators, the findings show that NGO-run urban agriculture projects not only aid food security, but also help women to develop supportive networks that unlock benefits across the personal, social and economic spectrum. (shrink)

Food security is about ensuring that all people at all times have both physical and economic access to the basic food they need. In a number of African countries chronic malnutrition and transitory food insecurity are pervasive. Like most African countries, Eritrea is also a victim of the problem of food insecurity. Based on this historical and recurrent food insecurity in Eritrea, an attempt is made in this paper to assess the possible causes of food insecurity in the country. (...) Furthermore, the paper captures the available food security policy proposals of Eritrea and eventually draws conclusions and extends possible recommendations and policy remedies suited to the country. (shrink)

The book examines the extent to which Chinese cyber and network security laws and policies act as a constraint on the emergence of Chinese entrepreneurialism and innovation. Specifically, how the contradictions and tensions between data localisation laws affect innovation in artificial intelligence. The book surveys the globalised R&D networks, and how the increasing use of open-source platforms by leading Chinese AI firms during 2017–2020, exacerbated the apparent contradiction between Network Sovereignty and Chinese innovation. The drafting of the (...) Cyber Security Law did not anticipate the changing nature of globalised AI innovation. It is argued that the deliberate deployment of what the book refers to as 'fuzzy logic' in drafting the Cyber Security Law allowed regulators to subsequently interpret key terms regarding data in that Law in a fluid and flexible fashion to benefit Chinese innovation. (shrink)

Big data technologies are entering the world of ageing computer systems running critical infrastructures. These innovations promise to afford rapid Internet connectivity, remote operations or predictive maintenance. As legacy critical infrastructures were traditionally disconnected from the Internet, the prospect of their modernisation necessitates an inquiry into cyber security and how it intersects with traditional engineering requirements like safety, reliability or resilience. Looking at how the adoption of big data technologies in critical infrastructures shapes understandings of risk management, we focus (...) on a specific case study from the cyber security governance: the EU Network and Information Systems Security Directive. We argue that the implementation of Network and Information Systems Security Directive is the first step in the integration of safety and security through novel risk management practices. Therefore, it is the move towards legitimising the modernisation of critical infrastructures. But we also show that security risk management practices cannot be directly transplanted from the safety realm, as cyber security is grounded in anticipation of the future adversarial behaviours rather than the history of equipment failure rates. Our analysis offers several postulates for the emerging research agenda on big data in complex engineering systems. Building on the conceptualisations of safety and security grounded in the materialist literature across Science and Technology Studies and Organisational Sociology, we call for a better understanding of the ‘making of’ technologies, standardisation processes and engineering knowledge in a quest to build safe and secure critical infrastructures. (shrink)

There is a common problem in artificial intelligence (AI) and information security. In AI, an expert system needs to be able to justify and explain a decision to the user. In information security, experts need to be able to explain to the public why a system is secure. In both cases, an important goal of explanation is to acquire or maintain the users’ trust. In this paper, I investigate the relation between explanation and trust in the context of (...) computing science. This analysis draws on literature study and concept analysis, using elements from system theory as well as actor-network theory. I apply the conceptual framework to both AI and information security, and show the benefit of the framework for both fields by means of examples. The main focus is on expert systems (AI) and electronic voting systems (security). Finally, I discuss consequences of the analysis for ethics in terms of (un)informed consent and dissent, and the associated division of responsibilities. (shrink)