Lightweight Client-Side Methods for Detecting Email Forgery

  • Eric Lin
  • John Aycock
  • Mohammad Mannan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7690)

Abstract

We examine a related, but distinct, problem to spam detection. Instead of trying to decide if email is spam or ham, we try to determine if email purporting to be from a known correspondent actually comes from that person – this may be seen as a way to address a class of targeted email attacks. We propose two methods, geolocation and stylometry analysis. The efficacy of geolocation was evaluated using over 73,000 emails collected from real users; stylometry, for comparison with related work from the area of computer forensics, was evaluated using selections from the Enron corpus. Both methods show promise for addressing the problem, and are complementary to existing anti-spam techniques. Neither requires global changes to email infrastructure, and both are done on the email client side, a practical means to empower end users with respect to security. Furthermore, both methods are lightweight in the sense that they leverage existing information and software in new ways, instead of needing massive deployments of untried applications.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Eric Lin
    • 1
  • John Aycock
    • 1
  • Mohammad Mannan
    • 2
  1. 1.Department of Computer ScienceUniversity of CalgaryCalgaryCanada
  2. 2.Concordia Institute for Information Systems Engineering, Faculty of Engineering and Computer ScienceConcordia UniversityMontrealCanada

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