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Artificial intelligence-driven composition and security validation of an Internet of Things ecosystem

Hatzivasilis, George, Papadakis Nikos, Hatzakis Ilias, Ioannidis Sotirios, Vardakis George

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Extent32 pagesen
Extent3,1 megabytesen
TitleArtificial intelligence-driven composition and security validation of an Internet of Things ecosystemen
CreatorHatzivasilis, Georgeen
CreatorPapadakis Nikosen
CreatorHatzakis Iliasen
CreatorIoannidis Sotiriosen
CreatorVardakis Georgeen
Content SummaryKey challenges in Internet-of-Things (IoT) system design and management include the secure system composition and the calculation of the security and dependability level of the final system. This paper presents an event-based model-checking framework for IoT systems’ design and management, called CompoSecReasoner. It invokes two main functionalities: (i) system composition verification, and (ii) derivation and validation of security, privacy, and dependability (SPD) metrics. To measure the SPD values of a system, we disassemble two well-known types of security metrics—the attack surface methodologies and the medieval castle approach. The first method determines the attackable points of the system, while the second one defines the protection level that is provided by the currently composed system-of-systems. We extend these techniques and apply the Event Calculus method for modelling the dynamic behavior of a system with progress in time. At first, the protection level of the currently composed system is calculated. When composition events occur, the current system status is derived. Thereafter, we can deploy reactive strategies and administrate the system automatically at runtime, implementing a novel setting for Moving Target Defenses. We demonstrate the overall solution on a real ambient intelligence application for managing the embedded devices of two emulated smart buildings.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Date of Item2021-07-13-
Date of Publication2020-
SubjectDynamic system compositionen
SubjectEvent calculusen
SubjectJava Agent DEvelopment framework (JADE)en
SubjectOpen Services Gateway initiative (OSGi)en
SubjectMoving Target Defenses (MTDs)en
Bibliographic CitationG. Hatzivasilis, N. Papadakis, I. Hatzakis, S. Ioannidis, and G. Vardakis, “Artificial intelligence-driven composition and security validation of an Internet of Things ecosystem,” Appl. Sci., vol. 10, no. 14, Jul. 2020. doi: 10.3390/app10144862en

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