Scientific Publications

For a full copy of a publication, please contact the Project Coordinator.

Please note that copyright restrictions may apply for specific publications.

Contact details: 

Dimitris M. Kyriazanos, PhD (Dkyri[at]iit.demokritos.gr)
Integrated Systems Laboratory,
Institute of Informatics and Telecommunications
National Centre for Scientific Research "Demokritos"
Patriarchou Grigoriou and Neapoleos St.15310, 
Aghia Paraskevi, Attiki, Greece

Risk Based Security and Automated Decision Making in Airport Checkpoints: Bias Detection towards Smarter Security and Fairness

 

Author(s): Dimitris M. Kyriazanos, Giorgos Konstantinos Thanos and Stelios C. A. Thomopoulos

Paper Details:

Accepted for publication in IEEE Security & Privacy Journal, pending printing (expected publication Date Mar/April 2019)

Abstract:

Automated decision making emerges as the enabler for risk-based and smarter security. However, ethics, privacy and the GDPR set a very challenging setting while there are significant difficulties to overcome when applying solutions for monitoring the fairness, bias detection and refinement of intelligent analytics in airports and other critical infrastructures.

FLYSEC: A comprehensive control, command and Information (C2I) system for risk-based security

 

Author(s): Stelios C. A. Thomopoulos; Dimitris M. Kyriazanos; Andreas Zalonis

Paper Details: 

Date Published: 25 June 2018
PDF: 8 pages
Proc. SPIE 10646, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVII, 106461B (25 June 2018); doi: 10.1117/12.2500144

Published in SPIE Proceedings Vol. 10646: 
Signal Processing, Sensor/Information Fusion, and Target Recognition XXVII
Ivan Kadar, Editor(s)

SPIE: https://spie.org/Publications/Proceedings/Paper/10.1117/12.2500144

Abstract:

Increased passenger flows at airports and the need for enhanced security measures from ever increasing and more complex threats lead to long security lines, increased waiting times, as well as often intrusive and disproportionate security measures that result in passenger dissatisfaction and escalating costs. As expressed by the International Air Transport Association (IATA), the Airports Council International, (ACI) and the respective industry, todays airport security model is not sustainable in the long term. The vision for a seamless and continuous journey throughout the airport and efficient security resources allocation based on intelligent risk analysis, set the challenging objectives for the Smart Security of the airport of the future. FLYSEC, a research and innovation project funded by the European Commission under the Horizon 2020 Framework Programme, developed and demonstrated an innovative integrated and risk-based end-to-end airport security process for passengers, while enabling a guided and streamlined procedure from landside to airside and into the boarding gates, offering for the first time an operationally validated innovative concept for end-to-end aviation security. With a consortium of eleven highly specialised partners, coordinated by the National Center for Scientific Research “Demokritos,” FLYSEC developed and tested an integrated risk-based security system with a POC (Proof Of Concept) validation field trial at the Schönhagen Airport in Berlin, and a final pilot demonstration under operational conditions at the Luxembourg International Airport.

https://spie.org/Publications/Proceedings/Paper/10.1117/12.2500144

FLYSEC: a risk-based airport security management system based on security as a service concept

 

Author(s): Dimitris M. Kyriazanos; Olga E. Segou; Andreas Zalonis; Stelios C. A. Thomopoulos

Paper Details:

Date Published: 17 May 2016
PDF: 7 pages
Proc. SPIE 9842, Signal Processing, Sensor/Information Fusion, and Target Recognition XXV, 98420V (17 May 2016); doi: 10.1117/12.2224031

Published in SPIE Proceedings Vol. 9842: 
Signal Processing, Sensor/Information Fusion, and Target Recognition XXV
Ivan Kadar, Editor(s)

Abstract:

Complementing the ACI/IATA efforts, the FLYSEC European H2020 Research and Innovation project (http://www.fly-sec.eu/) aims to develop and demonstrate an innovative, integrated and end-to-end airport security process for passengers, enabling a guided and streamlined procedure from the landside to airside and into the boarding gates, and offering for an operationally validated innovative concept for end-to-end aviation security. FLYSEC ambition turns through a well-structured work plan into: (i) innovative processes facilitating risk-based screening; (ii) deployment and integration of new technologies and repurposing existing solutions towards a risk-based Security paradigm shift; (iii) improvement of passenger facilitation and customer service, bringing security as a real service in the airport of tomorrow;(iv) achievement of measurable throughput improvement and a whole new level of Quality of Service; and (v) validation of the results through advanced “in-vitro” simulation and “in-vivo” pilots. On the technical side, FLYSEC achieves its ambitious goals by integrating new technologies on video surveillance, intelligent remote image processing and biometrics combined with big data analysis, open-source intelligence and crowdsourcing. Repurposing existing technologies is also in the FLYSEC objectives, such as mobile application technologies for improved passenger experience and positive boarding applications (i.e. services to facilitate boarding and landside/airside way finding) as well as RFID for carry-on luggage tracking and quick unattended luggage handling. In this paper, the authors will describe the risk based airport security management system which powers FLYSEC intelligence and serves as the backend on top of which FLYSEC’s front end technologies reside for security services management, behaviour and risk analysis.

https://spie.org/Publications/Proceedings/Paper/10.1117/12.2224031

A novel architecture for behavior/event detection in security and safety management systems

 

Author(s): Konstantinos Georgios Thanos; Constantinos Rizogiannis; John Bothos; Dimitris M. Kyriazanos; Andreas Zalonis; Stelios C. A. Thomopoulos

Paper Details:

Date Published: 27 April 2018
PDF: 8 pages
Proc. SPIE 10646, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVII, 106460V (27 April 2018); doi: 10.1117/12.2307079

Abstract:

In this paper the architecture of an autonomous human behavior detection system is presented. The proposed system architecture is intended for Security and Safety surveillance systems that aim to identify adverse events or behaviors which endanger the safety of people or their well-being. Applications include monitoring systems for crowded places (Malls, Mass transport systems, other), critical infrastructures, or border crossing points. The proposed architecture consists of three modules: (a) the event detection module combined with a data fusion component responsible for the fusion of the sensor inputs along with relevant high level metadata, which are pre-defined features that are correlated with a suspicious event, (b) an adaptive learning module which takes inputs from official personnel or healthcare personnel about the correctness of the detected events, and uses it in order to properly parameterise the event detection algorithm, and (c) a statistical and stochastic analysis component which is responsible for specifying the appropriate features to be used by the event detection module. Statistical analysis estimates the correlations between the features employed in the study, while stochastic analysis is used for the estimation of dependencies between the features and the achieved system performance.

https://spie.org/Publications/Proceedings/Paper/10.1117/12.2224031

Embedding a distributed simulator in a fully-operational control and command airport security system

 

Author(s): Stelios Daveas; Stelios C. A. Thomopoulos

Paper Details:

Date Published: 19 June 2018
PDF: 10 pages
Proc. SPIE 10646, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVII, 106461C (19 June 2018); doi: 10.1117/12.2500143

Abstract:

Command and Control (C2) airport security systems have developed over time, both in terms of technology and in terms of increased security features. Airport control check points are required to operate and maintain modern security systems preventing malicious actions. This paper describes the architecture of embedding a fully distributed, sophisticated simulation platform within a fully operational and robust, state-of-the-art, C2 security system in the context of airport security. The overall system, i.e. the C2, the classification tool and the embedded simulator, delivers a fully operating, validated platform which focuses on: (a) the end-to-end airport security process for passengers, airports and airlines, and (b) the ability to test and validate all security subsystems, processes, as well as the entire security system, via realistically generated and simulated scenarios both in vitro and in vivo. The C2 system has been integrated with iCrowd, a Crowd Simulation platform developed by the Integrated Systems Lab of the Institute of Informatics and Telecommunications in NCSR Demokritos, that features a highly-configurable, high-fidelity agent-based behavior simulator. iCrowd provides a realistic environment inciting behaviors of simulated actors (e.g. passengers, personnel, malicious actors), instantiates the functionality of hardware security technologies (e.g. Beacons, RFID scanners and RFID tags for carry-on luggage tracking) and simulates passengers’ facilitation and customer service. To create a realistic and domain agnostic scenario, multiple simulation instances undertake different kind of entities - whose plans and actions would be naturally unknown to each other - and run in sync constituting a Distributed Simulation Platform. Primary goal is to enable a guided and streamlined procedure from land-side to air-side and into the boarding gates, while offering an operationally validated innovative concept for testing end-to-end aviation security processes, procedures and infrastructure.

https://spie.org/Publications/Proceedings/Paper/10.1117/12.2500143

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