An Approach for Testing False Data Injection Attack on Data Dependent Industrial Devices

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 28 Jul 2021 France Publisher:Pensoft PublishersJournal:JUCS - Journal of Universal Computer Science, volume 27, pages 774-792 (issn: 0948-695X, eissn: 0948-6968,

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Authors: Mathieu Briland; Fabrice Bouquet;

doi: 10.3897/jucs.70326

An Approach for Testing False Data Injection Attack on Data Dependent Industrial Devices

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Abstract

False data injection is an attack in which an attacker injects fabricated data into a system with the objective to change the behaviour and the decision-making of the system. Many industrial data-based devices are vulnerable to such attacks, this work presents an approach for testing False Data Injection Attack. This approach uses a Domain-Specific Language to generate altered data with two objectives, to provide sophisticated attacks scenarios to increase the resilience of vulnerable systems against False Data Injection Attack and to train detection tools.

Country

France

Related Organizations

University of Franche-Comté
France
UNIVERSITE MARIE ET LOUIS PASTEUR
France

Keywords

[INFO.INFO-DC]Computer Science [cs]/Distributed, False data injection, internet of t, [INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE], security, QA75.5-76.95, Parallel, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, internet of things, FDIA, 004, 620, [INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing, [INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR], attacks, and Cluster Computing [cs.DC], test, [INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA], Electronic computers. Computer science, [INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]

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