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A survey of human interactive proof systems

Shirali Shahreza, S ; Sharif University of Technology | 2010

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  1. Type of Document: Article
  2. Publisher: 2010
  3. Abstract:
  4. Nowadays, a great amount of information is circulated through the Internet. Some of them exclusively belong to a special group of users and require protection and safeguarding against unauthorized access. To this end, a category of systems called HIP (Human Interactive Proof) are designed to distinguish between various groups of users. An important task on the Internet websites is registration. Some hackers write programs to make fake registration that waste the resources of the web sites or even stop them from providing services. Therefore, human users should be distinguished from computer programs. CAPTCHA (Completely Automatic Public Turing Test to Tell Computer and Human Apart) methods are one of the important branches of HIP systems which are used to distinguish between human users and computer programs automatically. These methods are based on Artificial Intelligence (AT) topics. The goal of these systems is to ask questions which human users can easily answer but current computer programs cannot. In this paper, HIP systems (mainly CAPTCHA methods) are surveyed. In addition to available HIP systems, various applications of HIP systems and attacks conduct on them are studied
  5. Keywords:
  6. CAPTCHA (Completely automated public turing test to tell computers and human apart) ; HIP (Human interactive proof) ; OCR (Optical character recognition) ; CAPTCHAs ; Human interactive proofs ; Turing tests ; Artificial intelligence ; Computer crime ; Internet ; Optical character recognition ; Personal computing ; World Wide Web ; Computational methods
  7. Source: International Journal of Innovative Computing, Information and Control ; Volume 6, Issue 3 , 2010 , Pages 855-874 ; 13494198 (ISSN)
  8. URL: http://www.ijicic.org/08-1019-1.pdf