Title: A multi-dimensional classification framework for developing context-specific Wireless Local Area Network attack taxonomies
Authors: Jungwoo Ryoo, Young B. Choi, Tae Hwan Oh, Gregory Corbin
Addresses: Division of Business and Engineering, The Pennsylvania State University-Altoona, 163 LRC 3000 Ivyside Park, Altoona, PA 16601, USA. ' Department of Computer Information Systems and Management Science, College of Business, James Madison University, 800 South Main Street, Harrisonburg, VA 22807 0001, USA. ' Department of Electrical Engineering, College of Engineering, Southern Methodist University, Dallas, TX 75205, USA. ' College of Information Sciences and Technology, The Pennsylvania State University, 101 Information Sciences and Technology Building, University Park, PA 16802 6823, USA
Abstract: Despite the abundance of taxonomies for the high-level classification of computer or network security attacks, few researchers have worked on the development of a taxonomy dedicated to Wireless Local Area Network (WLAN) security attacks. The existing general-purpose taxonomies are not equipped with WLAN-specific classification criteria and, therefore, fail to reveal and categorise attacks that exploit vulnerabilities found only in WLANs. To address this problem, we propose a novel taxonomy development framework that features a rich set of classification criteria devoted to WLAN attacks. The new taxonomy is expressive enough to describe not only well-known attacks, but also newly emerging ones.
Keywords: classification frameworks; mobile communications; predictions; security attacks; context-specific taxonomies; wireless LANs; local area networks; WLANs.
International Journal of Mobile Communications, 2009 Vol.7 No.2, pp.253 - 267
Published online: 05 Jan 2009 *Full-text access for editors Access for subscribers Purchase this article Comment on this article