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Authentication Scheme for Multi-Server Environment

R. Ganesan, Dr. A. Arul Lawrence Selvakumar


Conventional authentication schemes allow a serviceable server to authenticate the legitimacy of a remote login user. However, these schemes are not used for multi-server architecture environments. This paper presents a secure and efficient remote user authentication scheme for multi-server environments. This user authentication scheme is a pattern classification system based on an artificial neural network. In this scheme, the users only remember user identity and password to log in to various servers. Users can freely choose their password. Furthermore, the system is not required to maintain a verification table and can withstand the replay attack.


Neural Network, Multi Server Architecture, User Authentication, Remote login, Security.

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