Authors:
K. Anish Pon Yamini, O. Jeba Singh, Priscilla Whittin, R. Rajesh Sharma, S. Rubin Bose, S. Suman Rajest, M. Mohamed Sameer Ali, Karthikeyan Sivanandi
Addresses:
Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu, India. Centre for Academic Research, Alliance University, Bengaluru, Karnataka, India. Department of Electrical and Electronics Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu, India. Department of Computer Science and Engineering, Alliance University, Bengaluru, Karnataka, India. School of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai, Tamil Nadu, India. Department of Research and Development, Dhaanish Ahmed College of Engineering, Chennai, Tamil Nadu, India. Department of Research and Development, InfraSecure AI LLC, Casper, Wyoming, United States of America.
Abstract:
The security frameworks are effective and required in cloud computations to guarantee data confidentiality and integrity in transmission. The study hypothesizes a Security-Driven Protocol for Authenticated Key Generation to overcome unauthorized access and man-in-the-middle attacks. This paper is based on a decentralized model in which keys are generated using a multi-factor authentication mechanism, as no party holds the entire key. A detailed dataset comprising 414 distinct transaction cases was used to evaluate the effectiveness of the proposed protocol. These are some of the network conditions and access requests that are prevalent in the high-traffic cloud environment. The simulations were carried out using specific network security tools, namely cryptographic throughput and latency analysis. The results show that the protocol can achieve the required authentication speed while maintaining a high cryptographic strength level. The study provides precise performance analysis by leveraging automated validation scripts and cloud-native simulation environments. Results indicate that by incorporating dynamic key-generation protocols, the trade-off between security overhead and system performance can be optimised, providing a scalable solution for contemporary enterprise cloud systems.
Keywords: Cloud Security; Key Generation; Authentication Protocol; Data Encryption; Network Integrity; Security Driven; Cloud Environment; High Cryptographic; Data Confidentiality.
Received on: 01/02/2025, Revised on: 24/05/2025, Accepted on: 29/07/2025, Published on: 03/01/2026
DOI: 10.64091/ATICS.2026.000281
AVE Trends in Intelligent Computing Systems, 2026 Vol. 3 No. 1 , Pages: 1–10