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  • 标题:Design, Implementation and Evaluation of Knowledge-Based Authentication Mechanism Using Persuasive Cued Click-Points
  • 本地全文:下载
  • 作者:Prof. Anil Kulkarni ; Sangameshwar
  • 期刊名称:International Journal of Advanced Research In Computer Science and Software Engineering
  • 印刷版ISSN:2277-6451
  • 电子版ISSN:2277-128X
  • 出版年度:2013
  • 卷号:3
  • 期号:8
  • 出版社:S.S. Mishra
  • 摘要:The most common computer authentication method is to use alphanumeric usernames and passwords .This method has been shown to have significant drawbacks. For example, users tend to pick passwords that can be easily guessed. On the other hand, if a password is hard to guess, then it is often hard to remember. To address this problem, some researchers have developed authentication methods that use pictures as passwords. In this work we conduct comprehensive analysis of the existing image based password techniques. We discuss strengths and limitations of each method. Our analysis suggest that most of the picture based authentication schemes are easily breakable as user tends to click on hotspots in the images. A hotspot is the area of the image which is easily recognized against all other images. Thus making such techniques vulnerable. We propose a unique solution to this problem by a Persuasive Cued Click based image authentication scheme. We use persuasion to influence user choice in click-based graphical passwords, encouraging users to select more random, and hence difficult to guess, click-points. We also prove through performance analysis that by using this system, randomness is increased and hotspots in the images are reduced
  • 关键词:authentication; graphical passwords; guessing attacks; hotspots; usable security
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