6533b7d2fe1ef96bd125f7b5
RESEARCH PRODUCT
A Hierarchical Detection and Response System to Enhance Security Against Lethal Cyber-Attacks in UAV Networks
Sidi-mohammed SenouciHichem SedjelmaciNirwan Ansarisubject
Ad hoc networksMonitoringAnomaly-based intrusion detection systemWireless ad hoc networkComputer science[ INFO.INFO-NI ] Computer Science [cs]/Networking and Internet Architecture [cs.NI]UAVMobile computing[ INFO.INFO-CR ] Computer Science [cs]/Cryptography and Security [cs.CR]JammingComputerApplications_COMPUTERSINOTHERSYSTEMS02 engineering and technologyIntrusion detection systemAnomaly detection and rules-based intrusion detection techniquesIDSBlack hole (networking)Computer securitycomputer.software_genreMobile communicationUnmanned aerial vehicles[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR][INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]0202 electrical engineering electronic engineering information engineeringFalse positive paradoxOverhead (computing)Intrusion detectionElectrical and Electronic Engineering020206 networking & telecommunicationsComputer Science ApplicationsHuman-Computer InteractionControl and Systems Engineeringintrusion detection system020201 artificial intelligence & image processingcyber-attacksIntrusion prevention systemcomputerSoftwaredescription
International audience; Unmanned aerial vehicles (UAVs) networks have not yet received considerable research attention. Specifically, security issues are a major concern because such networks, which carry vital information, are prone to various attacks. In this paper, we design and implement a novel intrusion detection and response scheme, which operates at the UAV and ground station levels, to detect malicious anomalies that threaten the network. In this scheme, a set of detection and response techniques are proposed to monitor the UAV behaviors and categorize them into the appropriate list (normal, abnormal, suspect, and malicious) according to the detected cyber-attack. We focus on the most lethal cyber-attacks that can target an UAV network, namely, false information dissemination, GPS spoofing, jamming, and black hole and gray hole attacks. Extensive simulations confirm that the proposed scheme performs well in terms of attack detection even with a large number of UAVs and attackers since it exhibits a high detection rate, a low number of false positives, and prompt detection with a low communication overhead.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2018-09-01 |