Risk-based security: from theory to practice

Abstract

Risk-based security is a concept introduced to provide security checks without inconveniencing travelers that are being checked with unqualified scrutiny checks while maintaining the same level of security with current check point practices without compromising security standards. Furthermore, risk-based security, as a means of improving travelers’ experience at check points is expected to reduce queueing and waiting times while improving at the same travelers’ experience during checks. Several projects have been funded by the European Commission to investigate the concept of risk-based security and develop the means and technology required to implement it. This paper discusses and analyses the concept of riskbased security, the inherent competing mechanism between risk assessment, screening time and level of security, and means to implement risk-based security based on anomaly detection using deep learning and artificial intelligence (AI) methods. This paper summarizes work that has been carried out in the project FLYSEC [2] and continues in the projects TRESSPASS ]3], D4FLY and SAFETY4RAIL (see Acknowledgments), and has previously been published in [13], [7], [8].