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Securing Cyber-Physical Spaces with Hybrid Analytics: Vision and Reference Architecture
De Pascale,Daniel Sangiovanni,Mirella Cascavilla,Giuseppe Tamburri,Damian A. Van Den Heuvel,Willem Jan
De Pascale,Daniel
Sangiovanni,Mirella
Cascavilla,Giuseppe
Tamburri,Damian A.
Van Den Heuvel,Willem Jan
Abstract
Considering the massive increase in the number of crimes in the last decade, as well as the outlook toward smarter cities and more sustainable urban living, the emerging cyber-physical space (CPS) obtained by the interaction of such physical spaces with the cyber elements around them (e.g., think of Internet-of-Things devices or hyperconnected mobility), plays a key role in the protection of urban social living, e.g., social events or daily routines. For example, the hyperconnectedness of a CPS to many networks can lead to potential vulnerability. This vision paper aims to outline a vision and reference architecture where CPS protection is center-stage and where CPS models as well as so-called hybrid analytics work jointly to help the Law Enforcement Agents (LEAs), e.g., in event monitoring and early detection of criticalities. As a part of validating said reference architecture, we implement a case study in the scope of VISOR, a Dutch government project aimed at improving CPS protection using hybrid analytics. We conduct a field experiment in the Paaspop social event and festival grounds to test and select the most appropriate device configuration. There we experiment with a CPS protection pipeline featuring several components reflected in the reference architecture, e.g., the KGen middleware, a prototype tool to anonymize structured big data using genetic algorithms, and SENSEI, a framework for dark web marketplace analytics. We conclude that hybrid analytics offer a considerable ground for more sustainable CPS.
Description
Publisher Copyright: © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Date
2023
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Springer Science and Business Media Deutschland GmbH
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Keywords
Cyber physical space (CPS), Genetic algorithm (GA), Internet of Thing (IoT), Law Enforcement Agents (LEA), SDG 11 - Sustainable Cities and Communities
Citation
De Pascale, D, Sangiovanni, M, Cascavilla, G, Tamburri, D A & Van Den Heuvel, W J 2023, Securing Cyber-Physical Spaces with Hybrid Analytics : Vision and Reference Architecture. in S Katsikas, F Cuppens, C Kalloniatis, J Mylopoulos, F Pallas, J Pohle, M A Sasse, H Abie, S Ranise, L Verderame, E Cambiaso, J Maestre Vidal, M A Sotelo Monge, M Albanese, B Katt, S Pirbhulal & A Shukla (eds), Computer Security. ESORICS 2022 International Workshops - CyberICPS 2022, SECPRE 2022, SPOSE 2022, CPS4CIP 2022, CDT and SECOMANE 2022, EIS 2022, and SecAssure 2022, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13785 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 398-408, International Workshops which were held in conjunction with 27th European Symposium on Research in Computer Security, ESORICS 2022, Copenhagen, Denmark, 26/09/22. https://doi.org/10.1007/978-3-031-25460-4_23