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

  • Affiliations:

  • 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

  • Venue:
  • International Journal of Mobile Communications
  • Year:
  • 2009

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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.