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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/14105

Title: Manual and automatic assigned thresholds in multi-layer data fusion intrusion detection system for 802.11 attacks
Authors: Kyriakopoulos, Konstantinos G.
Aparicio-Navarro, Francisco J.
Parish, David J.
Keywords: Mixed-layer measurements
Data fusion
Dempster-Shafer
Wireless injection attacks
Wi-Fi
Issue Date: 2014
Publisher: © The Institution of Engineering and Technology
Citation: KYRIAKOPOULOS, K.G., APARICIO-NAVARRO, F.J. and PARISH, D.J., 2014. Manual and automatic assigned thresholds in multi-layer data fusion intrusion detection system for 802.11 attacks. IET Information Security, 8 (1), pp. 42 - 50.
Abstract: Abuse attacks on wireless networks are becoming increasingly sophisticated. Most of the recent research on intrusion detection systems for wireless attacks either focuses on just one layer of observation or uses a limited number of metrics without proper data fusion techniques. However, the true status of a network is rarely accurately detectable by examining only one network layer. The goal of this study is to detect injection types of attacks in wireless networks by fusing multi-metrics using the Dempster–Shafer (D–S) belief theory. When combining beliefs, an important step to consider is the automatic and selfadaptive process of basic probability assignment (BPA). This study presents a comparison between manual and automatic BPA methods using the D–S technique. Custom tailoring BPAs in an optimum manner under specific network conditions could be extremely time consuming and difficult. In contrast, automatic methods have the advantage of not requiring any prior training or calibration from an administrator. The results show that multi-layer techniques perform more efficiently when compared with conventional methods. In addition, the automatic assignment of beliefs makes the use of such a system easier to deploy while providing a similar performance to that of a manual system.
Description: This paper was published in the journal, IET Information Security [© The Institution of Engineering and Technology] and the definitive version is available at: http://dx.doi.org/10.1049/iet-ifs.2012.0302
Sponsor: This work was supported by the Engineering and Physical Sciences Research Council (EPSRC) [grant number EP/H005005/1 ]
Version: Accepted for publication
DOI: 10.1049/iet-ifs.2012.0302
URI: https://dspace.lboro.ac.uk/2134/14105
Publisher Link: http://dx.doi.org/10.1049/iet-ifs.2012.0302
ISSN: 1751-8709
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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