title: An Enhanced Biometric Based Authentication with Key-Agreement Protocol for Multi-Server Architecture Based on Elliptic Curve Cryptography.
abstract: Biometric based authentication protocols for multi-server architectures have gained momentum in recent times due to advancements in wireless technologies and associated constraints. Lu et al. recently proposed a robust biometric based authentication with key agreement protocol for a multi-server environment using smart cards. They claimed that their protocol is efficient and resistant to prominent security attacks. The careful investigation of this paper proves that Lu et al.'s protocol does not provide user anonymity, perfect forward secrecy and is susceptible to server and user impersonation attacks, man-in-middle attacks and clock synchronization problems. In addition, this paper proposes an enhanced biometric based authentication with key-agreement protocol for multi-server architecture based on elliptic curve cryptography using smartcards. We proved that the proposed protocol achieves mutual authentication using Burrows-Abadi-Needham (BAN) logic. The formal security of the proposed protocol is verified using the AVISPA (Automated Validation of Internet Security Protocols and Applications) tool to show that our protocol can withstand active and passive attacks. The formal and informal security analyses and performance analysis demonstrates that the proposed protocol is robust and efficient compared to Lu et al.'s protocol and existing similar protocols.
authors.affiliation: School of Computer Science and Engineering, Kyungpook National University, Daegu, Korea.
authors.forename: Alavalapati Goutham
authors.initials: AG
authors.lastname: Reddy
authors.affiliation: Center for Security, Theory and Algorithmic Research, International Institute of Information Technology, Hyderabad, India.
authors.forename: Ashok Kumar
authors.initials: AK
authors.lastname: Das
authors.affiliation: Department of mathematics, Indian Institute of Technology, Kharagpur, India.
authors.forename: Vanga
authors.initials: V
authors.lastname: Odelu
authors.affiliation: School of Computer Science and Engineering, Kyungpook National University, Daegu, Korea.
authors.forename: Kee-Young
authors.initials: KY
authors.lastname: Yoo
mesh_terms: D001185:Artificial Intelligence; D056667:Biometric Identification / Q000379:methods*; D006801:Humans; D010363:Pattern Recognition, Automated / Q000379:methods*