Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171
Loughborough University

Loughborough University Institutional Repository

Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/8347

Title: Fusing multi-layer metrics for detecting security attacks in 802.11 networks
Authors: Kyriakopoulos, Konstantinos G.
Aparicio-Navarro, Francisco J.
Parish, David J.
Keywords: Cross-layer measurements
Data fusion
Dempster-Shafer
Wireless attacks
Wi-Fi
Issue Date: 2011
Publisher: © IEEE
Citation: KYRIAKOPOULOS, K.G., APARICIO-NAVARRO, F.J. and PARISH, D.J., 2011. Fusing multi-layer metrics for detecting security attacks in 802.11 networks. IN: Proceeedings of WTS 2011. Wireless Telecommunications Symposium, New York, USA, 13th-15th April.
Abstract: Computer networks and more specifically wireless communication networks are increasingly becoming susceptible to more sophisticated and untraceable attacks. Most of the current Intrusion Detection Systems either focus on just one layer of observation or use 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 or metric. Ideally, a synergistic approach would require knowledge from various layers to be fused and, collectively, an ultimate decision to be taken. To this aim, the Dempster-Shafer (D-S) approach is examined as a data fusion algorithm that combines beliefs of multiple metrics across multiple layers. This paper describes the methodology of using metrics from multiple layers of wireless communication networks for detecting wireless security breaches. The metrics are analysed and compared to historical data and each gives a belief of whether an attack takes place or not. The beliefs from different metrics are fused with the D-S technique with the ultimate goal of limiting false alarms by combining beliefs from various network layers. The results show that cross-layer techniques and data fusion perform more efficiently in a variety of situations compared to conventional methods.
Description: This is a conference paper. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/8347
Publisher Link: http://www.csupomona.edu/~wtsi/wts/index.htm
ISBN: 9781457701610
Appears in Collections:Conference Papers and Contributions (Electronic, Electrical and Systems Engineering)

Files associated with this item:

File Description SizeFormat
Fusing Multi-Layer Metrics for Detecting Security Attacks in 802.11 Networks.pdf645.2 kBAdobe PDFView/Open

 

SFX Query

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.