International Journal of Science, Engineering and TechnologyAuthors: Kritika kumari ojha, Dr. Rakesh Kumar yadav
Abstract: The rapid adoption of cloud services, remote work environments, and distributed enterprise applications has fundamentally transformed modern cybersecurity requirements. Traditional authentication mechanisms based on passwords and static credentials have become increasingly vulnerable to phishing attacks, credential theft, replay attacks, and account compromise. Although Fast Identity Online (FIDO) authentication standards have significantly improved authentication security through public-key cryptography and phishing-resistant authentication, current implementations primarily rely on binary authentication assertions that either approve or deny access requests. Such static authentication decisions may not adequately address dynamic threat conditions present in modern Zero-Trust environments. To overcome these limitations, this study proposes a Context-Aware Adaptive FIDO Authentication Framework (CAAF) that integrates contextual intelligence into authentication and authorization processes. The proposed framework evaluates multiple contextual attributes, including device trustworthiness, user behavior, network characteristics, geolocation, and threat intelligence indicators, to generate adaptive authentication decisions. A Contextual Trust Score (CTS) model is introduced to quantify authentication risk and support continuous verification. The framework aims to enhance phishing resistance, reduce unauthorized access, and strengthen Zero-Trust security architectures while maintaining user convenience. The proposed approach contributes to the development of intelligent and resilient authentication systems capable of responding dynamically to evolving cyber threats.
