SECURE TAMPER PROTOCOL MODEL WITH 5G-IoT BLOCKCHAIN ARCHITECTURE FOR DATA ROUTING

In an era of 5G technology characterized by comprises devices, those are Internet of Things (IoT) devices and the critical importance of data integrity, the need for robust security mechanisms has never been greater. This paper introduces a new Secure Tamper Protocol Model integrated with an IoT-based blockchain architecture, designed to address the growing challenges of data mitigation in IoT ecosystems. This research explores the application of Symmetric Homomorphic Hidden Markov Models (SHHMMs) in the context of anomaly detection, with a focus on %G - IoT environments. SHHMMs have shown remarkable promise in accurately identifying anomalies within diverse datasets. The study presents numerical findings considered for the classification, with an initial accuracy of 98.2% reaching 99.0% at Epoch 100. Comparative analysis against traditional methods, such as Hidden Markov Models (HMM) and long short-term memory models, consistently highlights the SHHMM's superior performance, demonstrated through packet delivery ratio, packet loss, end-to-end delay, and overhead. The integration of blockchain technology further enhances the practicality of SHHMM in ensuring data integrity and security.