An intelligent platform for threat assessment and cyber-attack mitigation in IoMT ecosystems

Nicholas Kolokotronis, Maria Dareioti, Stavros Shiaeles, Emanuele Bellini

Research output: Chapter in Book/Report/Conference proceedingConference contribution


The increasing connectivity of medical devices along with the growing complexity, heterogeneity and attack surface of healthcare ecosystems has lead to numerous severe cyber-attacks. This paper proposes a novel collaborative security platform for threat assessment, intelligent detection and autonomous mitigation. The solution leverages machine learning(ML) and federated learning for detecting and preventing sophisticated multi-stage attacks, as well as blockchain for supporting integrity verification and accountability to defend against advanced persistent threats. The solution uses a distributed edge approach, performing intensive computations at the edge of the network, where information is generated, to achieve real-time processing of security events. The prevention capabilities employ autonomous decision-making with optimal response strategies towards cyber-attacks and runtime adaptation; these rely on dynamic risk-based models that use real-time information about security incidents.

Original languageEnglish
Title of host publication2022 IEEE Globecom Workshops (GC Wkshps)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781665459754
ISBN (Print)9781665459761
Publication statusPublished - 12 Jan 2023


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