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 approaching 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 algorithms in face recognition system.
Authors and Affiliations
Lina. S
Keywords
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