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A 4-layer AaMLP for Keystroke Dynamics Identity Verification
우은철,조성준 한국경영과학회 2002 한국경영과학회 학술대회논문집 Vol.- No.1(1)
Password typing is the most widely used identity verification method in computer security domain. However, due to its simplicity, it is vulnerable to imposter attacks. Keystroke dynamics adds a shield to password. Discriminating imposters from owners is a novelty detection problem. Auto-Associative Multilayer Perceptron (AaMLP) has been proved to be a good novelty detector. However, the widely used 2-layer AaMLP cannot identify nonlinear boundaries, which can result in serious problems in computer security. In this paper, a nonlinear model, i.e. 4-layer AaMLP, is proposed to serve as the novelty detector, which can remedy the limitations of 2-layer AaMLP.