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An Improved Methodology towards Providing Immunity against Weak Shoulder Surfing Attack

  • Nilesh Chakraborty
  • Samrat Mondal
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8880)

Abstract

In a conventional password based authentication system, an adversary can obtain login credentials by performing shoulder surfing. When such attacks are performed by human users with limited cognitive skills and without any recording device then it is referred as weak shoulder surfing attack. Existing methodologies that avoid such weak shoulder surfing attack, comprise of many rounds which may be the cause of fatigue to the general users. In this paper we have proposed a methodology known as Multi Color (MC) method which reduces the number of rounds in a session to half of previously proposed methodologies. Then using the predictive human performance modeling tool we have shown that proposed MC method is immune against weak shoulder surfing attack and also it improves the existing security level.

Keywords

Authentication Human shoulder surfer Human performance modeling tool Session password 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Nilesh Chakraborty
    • 1
  • Samrat Mondal
    • 1
  1. 1.Computer Science and Engineering DepartmentIndian Institute of Technology PatnaPatnaIndia

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