An Enhanced Approach for Three Factor Remote User Authentication in Multi-Server Environment

Abstract

With quick improvement in the field of network, everything becomes online. Remote user authentication is a mechanism in which remote server verify the correctness of user over common or public channel. Remote user authentication can be Single server authentication or Multi server authentication. The disadvantage of single server authentication is that the user needs to recall user id and password for each service, he/she need to utilize, however it can overcome by Multi-server authentication in which user needs to register himself with Registration Center (RC) for the first run through and after that onwards he can utilize each service (which are given by servers, associated with RC) by recollecting only one user id and password. In this paper, we analyze Chen's authentication scheme (based on multi server authentication) and show that this scheme is vulnerable to password guessing attack, replay attack, RC spoofing attack, session key verification attack and perfect forward secrecy attack. In this Paper, we propose a biometric based remote user authentication scheme in multi-server environment. Proposed scheme is more secure and efficient as compared to chen's scheme\cite{23}.

Hierarchical semantic interaction-based deep hashing network for cross-modal retrieval

“…In these years, deep learning has been widely used in cross-modal retrieval tasks due to its appealing performance in various computer vision applications such as Vasan et al (2020) , Dwivedi et al (2021) , Bhattacharya et al (2020) , Gadekallu et al (2020) , Jalil Piran et al (2020) , Jalil Piran, Islam & Suh (2018) , and Joshi et al (2018) . It obtains hash representations and hash function learning in an optimal end-to-end framework which also demonstrates the robustness.…”