EFFICIENT AUTHENTICATION FRAMEWORK FOR INTERNET OF THINGS
Vaidehi Shah, Dr. Vijaykumar B Gadhavi · Zenodo (CERN European Organization for Nuclear Research) · 2025
This study explores both existing and emerging threats in IoT networks, including device exploitation, communication eavesdropping, malware dissemination, and large-scale distributed attacks. A detailed literature review is conducted to analyze current security mechanisms, recent research advancements, and evolving trends in IoT security.The review identifies key limitations in existing approaches, such as poor adaptability to dynamic threat landscapes, the absence of lightweight yet effective protection techniques, and inadequate implementation of end-to-end security frameworks. Addressing these gaps, the research formulates a problem statement centered on improving IoT network security through a scalable and efficient methodology.A comprehensive system architecture and methodological framework are proposed to mitigate identified vulnerabilities while maintaining compatibility with the resource constraints of IoT devices. The proposed solution is evaluated against existing techniques, focusing on detection accuracy, computational efficiency, and overall security enhancement. Comparative analysis shows that the approach delivers a more effective defense mechanism for IoT environments, emphasizing the need for advanced, adaptive, and practical security frameworks for future IoT deployments.