A Hierarchical Detection and Response System to Enhance Security Against Lethal Cyber-Attacks in UAV Networks

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...

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Published in:	IEEE transactions on systems, man, and cybernetics. Systems Vol. 48; no. 9; pp. 1594 - 1606
Main Authors:	Sedjelmaci, Hichem, Senouci, Sidi Mohammed, Ansari, Nirwan
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.09.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers
Subjects:	Ad hoc networks Anomaly detection and rules-based intrusion detection techniques Computer Science Cryptography and Security cyber-attacks Cybersecurity Denial of service attacks Ground stations Information dissemination Intrusion detection intrusion detection system (IDS) Intrusion detection systems Jamming Mobile communication Mobile computing Monitoring Networking and Internet Architecture Networks Spoofing Unmanned aerial vehicles unmanned aerial vehicles (UAVs) intrusion detection system cyber-attacks Anomaly detection and rules-based intrusion detection techniques Intrusion detection Mobile communication IDS Unmanned aerial vehicles Ad hoc networks UAV Monitoring
ISSN:	2168-2216, 2168-2232
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Abstract	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.
AbstractList	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.
Author	Sedjelmaci, Hichem Senouci, Sidi Mohammed Ansari, Nirwan
Author_xml	– sequence: 1 givenname: Hichem surname: Sedjelmaci fullname: Sedjelmaci, Hichem email: sid-ahmed-hichem.sedjelmaci@u-bourgogne.fr organization: DRIVE Lab., Univ. of Burgundy, Nevers, France – sequence: 2 givenname: Sidi Mohammed surname: Senouci fullname: Senouci, Sidi Mohammed organization: DRIVE Lab., Univ. of Burgundy, Nevers, France – sequence: 3 givenname: Nirwan surname: Ansari fullname: Ansari, Nirwan email: nirwan.ansari@njit.edu organization: New Jersey Inst. of Technol., Newark, NJ, USA
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SubjectTerms	Ad hoc networks Anomaly detection and rules-based intrusion detection techniques Computer Science Cryptography and Security cyber-attacks Cybersecurity Denial of service attacks Ground stations Information dissemination Intrusion detection intrusion detection system (IDS) Intrusion detection systems Jamming Mobile communication Mobile computing Monitoring Networking and Internet Architecture Networks Spoofing Unmanned aerial vehicles unmanned aerial vehicles (UAVs)
Title	A Hierarchical Detection and Response System to Enhance Security Against Lethal Cyber-Attacks in UAV Networks
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