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Communication dans un congrès

How to Detect Cyber-Attacks in Unmanned Aerial Vehicles Network?

Abstract : Security issues in unmanned aerial vehicle (UAV) networks attract the attention of both industry and research community. This is due to the large number of attacks that can target such networks with a goal for instance to jam the communication, disturb the network operation, inject wrong data, etc. In this paper, we propose and implement a cyber security system to protect the UAVs against the most dangerous threats: cyber-attacks that target the data integrity and network availability. Our system is based on a cyber detection mechanism to promptly detect these attacks as soon as they unfold. Minimizing false positives and false negatives rates is a major issue since classifying a legitimate node as an intruder and vice versa may compromises the efficiency of the security system . Thereby, to address this issue, a threat estimation model based on Belief approach is proposed. Simulation results show that our security system exhibits a high accuracy detection compared to cyber detection system proposed in current literature.
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Communication dans un congrès
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https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01487771
Contributeur : Ub_drive Université de Bourgogne <>
Soumis le : lundi 13 mars 2017 - 10:24:06
Dernière modification le : vendredi 7 février 2020 - 11:34:12

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Hichem Sedjelmaci, Sidi Mohammed Senouci, Messous Mohamed-Ayoub. How to Detect Cyber-Attacks in Unmanned Aerial Vehicles Network?. 2016 IEEE Global Communications Conference (GLOBECOM), Dec 2016, Washington DC, United States. pp.1-6 ; INSPEC Accession Number: 16654929 ⟨10.1109/GLOCOM.2016.7841878⟩. ⟨hal-01487771⟩

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