A Hybrid Intrusion Detection System for Virtual Jamming Attacks on Wireless Networks .pdf (780.96 kB)

A hybrid intrusion detection system for virtual jamming attacks on wireless networks

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journal contribution
posted on 01.06.2017, 13:06 by Diego Santoro, Gines Escudero-Andreu, Kostas Kyriakopoulos, Francisco J. Aparicio-Navarro, David J. Parish, M. Vadursi
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.

Funding

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.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Measurement

Citation

SANTORO, D. ... et al, 2017. A hybrid intrusion detection system for virtual jamming attacks on wireless networks. Measurement, 109, pp. 79–87.

Publisher

© Elsevier

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

10/05/2017

Publication date

2017

Notes

This paper was published in the journal Measurement and the definitive published version is available at http://dx.doi.org/10.1016/j.measurement.2017.05.034.

ISSN

0263-2241

Language

en

Exports