Neural Network Based Authentication and Verification for Web Based Key Stroke Dynamics

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Provided by: International Journal of Computer Science and Information Technologies
Topic: Security
Format: PDF
Web based authentication provide remote authentication and security control mechanism. Password typing is the most widely used identity verification method in world wide web based Electronic Commerce (EC). Due to its simplicity, it is vulnerable to imposter attacks. Keystroke dynamics and password checking can be combined to result in a more secure verification system. The authors proposed an association of ideas of neural network that is trained with the timing vectors of the owner's keystroke dynamics and then used to discriminate between the owner and an imposter.
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