Title: An automatic and self-adaptive multi-layer data fusion system for WiFi attack detection

Authors: Francisco J. Aparicio-Navarro; Konstantinos G. Kyriakopoulos; David J. Parish

Addresses: School of Electronic, Electrical and System Engineering, Loughborough University, Loughborough, LE11 3TU, UK ' School of Electronic, Electrical and System Engineering, Loughborough University, Loughborough, LE11 3TU, UK ' School of Electronic, Electrical and System Engineering, Loughborough University, Loughborough, LE11 3TU, UK

Abstract: Wireless networks are becoming susceptible to increasingly more sophisticated threats. Most of the current intrusion detection systems (IDSs) that employ multi-layer techniques for mitigating network attacks offer better performance than IDSs that employ single layer approach. However, few of the current multi-layer IDSs could be used off-the-shelf without prior thorough training with completely clean datasets or a fine tuning period. Dempster-Shafer theory has been used with the purpose of combining beliefs of different metric measurements across multiple layers. However, an important step to be investigated remains open; this is to find an automatic and self-adaptive process of basic probability assignment (BPA). This paper describes a novel BPA methodology able to automatically adapt its detection capabilities to the current measured characteristics, without intervention from the IDS administrator. We have developed a multi-layer-based application able to classify individual network frames as normal or malicious with perfect detection accuracy.

Keywords: internet technology; basic probability assignment; BPA; data fusion; Dempster-Shafer; multi-layer measurements; spoofing attacks; intrusion detection systems; IDS; self-adaptive; WiFi attack detection; wireless networks; network attacks; network security.

DOI: 10.1504/IJITST.2013.058294

International Journal of Internet Technology and Secured Transactions, 2013 Vol.5 No.1, pp.42 - 62

Received: 21 Nov 2012
Accepted: 17 Feb 2013

Published online: 19 Jul 2014 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article