DYNAMIC RECIPROCAL AUTHENTICATION PROTOCOL IN MOBILE CLOUD COMPUTING

Abstract

Abstract- This study presents a dynamic reciprocal authentication protocol tailored for the security demands of mobile cloud computing (MCC) environments. Recognizing the vulnerabilities inherent in data transmission over mobile networks and cloud infrastructures, we introduce a novel approach to authentication aimed at mitigating risks associated with man-in-the-middle attacks, impersonation, and data playback. Our protocol not only addresses these threats but also transcends the limitations of traditional authentication methods such as Diffie–Hellman, offering robust protection against both basic and sophisticated attacks. Central to our solution is the implementation of multifactor authentication, incorporating elements like usernames, passwords, and dynamically generated one-time passwords (OTPs) for each connection. Through rigorous testing and evaluation conducted in Java, our protocol demonstrates superior security efficacy and efficiency compared to existing approaches, thus providing a solid foundation for securing data transmission in MCC environments. Keywords: Face recognition, face spoofing, CNN classifier, face liveness detection, deep learning.