Detecting Masquerade in Face Recognition System – A Literature survey

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 1

Abstract

 A masquerader is an (often external) attacker is one who, after succeeding in obtaining a legitimateuser’s credentials, attempts to use the stolen identity to carry out malicious actions.Automatic detection of masquerading attacks is generally undertaken by pproaching theproblem from an anomaly detection perspective: a model of normal behaviour for eachuser is constructed and significant departures from it are identified as potentialmasquerading attempts.The most common techniqueto masquerade a face recognition system is to use a photo print or a video of a valid user to gain illegitimate access. There exist methods in literature addressing this issue. This paper presents an analysis of masquerade detection algorithmsin face recognition system.

Authors and Affiliations

Lina. S

Keywords

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  • EP ID EP126170
  • DOI -
  • Views 79
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How To Cite

Lina. S (2014).  Detecting Masquerade in Face Recognition System – A Literature survey. IOSR Journals (IOSR Journal of Computer Engineering), 16(1), 1-5. https://europub.co.uk/articles/-A-126170