<scp>TruSMAS</scp> : Trust Score Enabled Multi‐Authority Authentication for Secure Data Transmission and Privacy Preservation

ABSTRACT In recent years, multi‐authority authentication systems have gained more attention due to their high operational efficiency, effective communication, and decision‐making skills for handling the complex systems. However, the existing multi‐authority authentication systems are still limited in their efficiency due to the cost of leaking personal multi‐dimensional data. Consequently, this research proposes the Trust Score‐enabled Multi‐Authority Authentication Scheme (TruSMAS) to address the challenges in the existing techniques on secure data transmission. Specifically, the core idea of the proposed method lies in the multi‐authority factor, contributing to minimizing the decryption overhead and enhancing the encryption of information. Further, the incorporation of the trust score enhances the security via selecting the most significant nodes without attacks and plays a major role when working with multi‐authority factors. Overall, the incorporated algorithms and mechanisms in the TruSMAS model achieve highly secure routing in the wireless sensor network (WSN) that neglects information hacking as well as ensures the trust of the cluster, where the data transmission takes place. Extensive experimental results reveal that the proposed approach establishes exceptional performance, reporting 0.603 for the Decryption Rate, 1.656 s for the Decryption Time, 0.603 for the Encryption Rate, 1.657 s for the Encryption Time, 6.628 ms for responsiveness, 0.775 for the Genuine User Rate (GUR), and 304.96 KB for Memory Usage in authority‐based evaluation.