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GTSSLR: Federated Security Approaches for IT and OT

As part of the GT SSLR thematic day on 2021-05-11, Léo presented his thesis under the title Federated Security Approaches for IT and OT. The poster, slides, and paper are available on the website of the research group.

Abstract

The Internet of Things has begun to spread over a variety of domains, including industry and finance. It represents an increasing threat for both IT and OT. The lack of collaboration results in the same attacks targeting different organizations one after the other. Often employed as an answer to this problem, cyber threat-intelligence sharing induces its own set of challenges: trust, privacy, and traceability.

This thesis takes advantages of a distributed sharing-oriented architecture and to enhance the security of industrial infrastructures. We study federated learning algorithms to build a distributed, autonomic system for detecting and characterizing attacks, as well as providing counter-measures.

Experiments on real-world testbeds at the chair Cyber CNI allow us to validate the theoretical assumptions against realistic infrastructures and scenarios, fitting industrial use-cases.

GT SSLR 2021

As part of the scientific animation on the topics of the working group “Security of Systems, Software and Networks” (SSLR), a thematic day dedicated to network security was held on May 11, 2021 online, in partnership with the research group “Networks and Distributed Systems”.

The program included guest keynotes and PhD students presentations. More information on scienceconf.org.

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