Efficient and secure cloud-assisted IoT key management: a lightweight authenticated protocol with security analysis and performance evaluation
Bommepalli Narayana Reddy, B. Raja Koti · 2025
In the rapidly growing world of the Internet of Things (IoT), maintaining strong security measures is essential. It embodies a protocol designed to ensure secure authentication and key management within cloud-assisted IoT setups, emphasizing computational efficiency and simultaneous security analysis. This paper offers an in-depth examination of authentication protocols in IoT environments, tackling common limitations and proposing innovative solutions to bolster security, scalability, and efficiency. Leveraging convolutional neural network (CNN) techniques, the proposed framework introduces a fresh approach aimed at strengthening IoT devices against unauthorized access and cyber threats. By enhancing data integrity and confidentiality, the system addresses security limitations inherent in traditional authentication methods. Moreover, the integration of CNN’s parallel processing capabilities tackles scalability concerns, facilitating seamless adaptation due to the growing number of IoT devices and users. The proposed system simplifies implementation processes, optimizes resource usage, and provides a user-friendly interface for efficient authentication management. Rigorous testing and validation procedures ensure the system’s reliability and effectiveness across various operational scenarios, instilling confidence in its performance. This proposed system marks a significant advancement in authentication technology, poised to meet the evolving security needs of IoT ecosystems. Through resource optimization, regulatory compliance assurance, and responsiveness to emerging threats, it signifies a new era of enhanced security and dependability in IoT deployments.