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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/25209

Title: A hybrid intrusion detection system for virtual jamming attacks on wireless networks
Authors: Santoro, Diego
Escudero-Andreu, Gines
Kyriakopoulos, Konstantinos G.
Aparicio-Navarro, Francisco J.
Parish, David J.
Vadursi, M.
Keywords: Data fusion
Intrusion detection systems
Measurements and networking
Network security
Virtual jamming attacks
Wireless network measurements
Issue Date: 2017
Publisher: © Elsevier
Citation: SANTORO, D. ... et al, 2017. A hybrid intrusion detection system for virtual jamming attacks on wireless networks. Measurement, 109, pp. 79–87.
Abstract: Wireless communications are vulnerable to certain number of cyber-attacks and intrusion attempts due to the intrinsic openness of the communication channel. Virtual jamming attack stands out among other attacks. This type of attack is easy to implement, energy-efficient to be launched, and represents one of the most important threats to the security of wireless networks. As the complexity of the attacks keeps increasing, new and more robust detection mechanisms need to be developed. A number of Network Intrusion Detection Systems (NIDSs) have been presented in the literature to detect this type of attack. To tackle the problem of virtual jamming attacks on IEEE 802.11 networks, we present a novel Hybrid-NIDS (H-NIDS) based on Dempster-Shafer (DS) Theory of Evidence. The proposed method aims at combining the advantages of signature-based and anomaly-based NIDSs. The performance of the proposed solution has been experimentally evaluated with multiple scenarios in an IEEE 802.11 network.
Description: This paper is closed access until 17th May 2018.
Sponsor: This work was supported by the Engineering and Physical Sciences Research Council (EPSRC) Grant number EP/K014307/2 and the MOD University Defence Research Collaboration in Signal Processing.
Version: Accepted for publication
DOI: 10.1016/j.measurement.2017.05.034
URI: https://dspace.lboro.ac.uk/2134/25209
Publisher Link: http://dx.doi.org/10.1016/j.measurement.2017.05.034
ISSN: 0263-2241
Appears in Collections:Closed Access (Mechanical, Electrical and Manufacturing Engineering)

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