Intrusion Detection Systems for Networked Unmanned Aerial Vehicles: A Survey

July 02, 2018 ยท The Cartographer ยท ๐Ÿ› 2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC)

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

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"Title-pattern auto-detect: Intrusion Detection Systems for Networked Unmanned Aerial Vehicles: A Survey"

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Authors Gaurav Choudhary, Vishal Sharma, Ilsun You, Kangbin Yim, Ing-Ray Chen, Jin-Hee Cho arXiv ID 1807.00435 Category cs.CR: Cryptography & Security Citations 104 Venue 2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC) Last Checked 1 day ago
Abstract
Unmanned Aerial Vehicles (UAV)-based civilian or military applications become more critical to serving civilian and/or military missions. The significantly increased attention on UAV applications also has led to security concerns particularly in the context of networked UAVs. Networked UAVs are vulnerable to malicious attacks over open-air radio space and accordingly, intrusion detection systems (IDSs) have been naturally derived to deal with the vulnerabilities and/or attacks. In this paper, we briefly survey the state-of-the-art IDS mechanisms that deal with vulnerabilities and attacks under networked UAV environments. In particular, we classify the existing IDS mechanisms according to information gathering sources, deployment strategies, detection methods, detection states, IDS acknowledgment, and intrusion types. We conclude this paper with research challenges, insights, and future research directions to propose a networked UAV-IDS system which meets required standards of effectiveness and efficiency in terms of the goals of both security and performance.
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