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The Journal of Supercomputing

Erschienen in:

26.02.2018

Cyber security methods for aerial vehicle networks: taxonomy, challenges and solution

verfasst von: Hichem Sedjelmaci, Sidi Mohamed Senouci

Erschienen in: The Journal of Supercomputing | Ausgabe 10/2018

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Abstract

Aerial vehicle networks (AVNs) compose a large number of heterogeneous aerial nodes, such as unmanned aerial vehicles, aircrafts and helicopters. The main characteristics of these networks are the high mobility of aerial nodes and the dynamic network topology. AVNs represent attractive targets for attackers due to the fact that aerial nodes could be connected to an untrusted network and hence lead the attackers to launch lethal threats, e.g., aircraft crash. Therefore, the security of AVNs is mandatory. In this article, we examine the challenges of cyber detection methods to secure AVNs and review exiting security schemes proposed in the current literature. Furthermore, we propose a security framework to protect an aircraft (SFA) against malicious behaviors that target aircrafts communication systems. Numerical results show that SFA achieves a high accuracy detection and prediction rates as compared to the current intrusion detection for aircrafts communication system.

Vorheriger Artikel Real-time identification of three Tor pluggable transports using machine learning techniques

Nächster Artikel Chain-based big data access control infrastructure

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Titel: Cyber security methods for aerial vehicle networks: taxonomy, challenges and solution
verfasst von: Hichem Sedjelmaci
Sidi Mohamed Senouci
Publikationsdatum: 26.02.2018
Verlag: Springer US
Erschienen in: The Journal of Supercomputing / Ausgabe 10/2018
Print ISSN: 0920-8542
Elektronische ISSN: 1573-0484
DOI: https://doi.org/10.1007/s11227-018-2287-8

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