Well done! Or how to Avoid Dangers of Pseudoscience: Common Standard for Research in Behavioural Analysis and Deception Detection in Aviation Security

Abstract

The detection of deception poses one of the main challenges in policing and security environment. It is the inherent goal of security to detect and prevent unlawful events to happen. This is especially true for aviation security as airports continue to constitute attractive targets for terrorist attacks. In consequence, law enforcement agencies are seeking effective and efficient solutions for ensuring high-level security and are often adopting approaches that include behaviour detection. This pressing need for solutions provides ground for pseudoscientific suggestions and methods as those that are cited in an article of the References section. Despite this justified criticism, options to overcome the dangers of pseudoscience are not offered. Therefore, this paper provides a first common standard for conducting research in aviation security for scientists and for practitioners. It highlights several factors that are important to consider before conducting research on behaviour detection. Furthermore, this paper aims to empower experts in the field of aviation security to recognize valid and reliable solutions (e.g., programs, methods, tools) and discusses the relevance as well as the challenges of conducting applied research in the field of aviation security.

Other Versions

No versions found

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 101,369

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

  • Only published works are available at libraries.

Similar books and articles

Relationship between Security and Human Rights in Counter-Terrorism: A Case of Introducing Body Scanners in Civil Aviation.Iztok Prezelj - 2015 - International Studies. Interdisciplinary Political and Cultural Journal 17 (1):145-158.
Use GenAI Tools to Boost Your Security Posture.Ken Huang, Yale Li & Patricia Thaine - 2024 - In Ken Huang, Yang Wang, Ben Goertzel, Yale Li, Sean Wright & Jyoti Ponnapalli (eds.), Generative AI Security: Theories and Practices. Springer Nature Switzerland. pp. 305-338.

Analytics

Added to PP
2024-07-17

Downloads
4 (#1,806,247)

6 months
4 (#1,263,115)

Historical graph of downloads
How can I increase my downloads?

Author's Profile

Maria Fernandez
University of Melbourne

Citations of this work

No citations found.

Add more citations

References found in this work

No references found.

Add more references