Virtual password using random linear functions for on-line services, ATM machines, and pervasive computing

  • Authors:
  • Ming Lei;Yang Xiao;Susan V. Vrbsky;Chung-Chih Li

  • Affiliations:
  • Department of Computer Science, The University of Alabama, Box 870290, Tuscaloosa, AL 35487, USA;Department of Computer Science, The University of Alabama, Box 870290, Tuscaloosa, AL 35487, USA;Department of Computer Science, The University of Alabama, Box 870290, Tuscaloosa, AL 35487, USA;School of Information Technology, Illinois State University, Normal, IL 61790, USA

  • Venue:
  • Computer Communications
  • Year:
  • 2008

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Abstract

People enjoy the convenience of on-line services, Automated Teller Machines (ATMs), and pervasive computing, but online environments, ATMs, and pervasive computing may bring many risks. In this paper, we discuss how to prevent users' passwords from being stolen by adversaries. We propose a virtual password concept involving a small amount of human computing to secure users' passwords in on-line environments, ATMs, and pervasive computing. We adopt user-determined randomized linear generation functions to secure users' passwords based on the fact that a server has more information than any adversary does. We analyze how the proposed schemes defend against phishing, key logger, and shoulder-surfing attacks. To the best of our knowledge, our virtual password mechanism is the first one which is able to defend against all three attacks together.