The management of basic services like telecommunications, energy distribution, an‎d public safety has been greatly changed by the quick integration of the Internet of Things (IoT) into public communication infrastructure. But the development of these connected networks has dramatically increased the attack surface, leaving vital infrastructure susceptible to complex attacks like eavesdro‎pping, data manipulation, an‎d man-in-the-middle attacks. This seminar offers a multi-layered Secure Data Transmission Framework intended to match the need of real-time fault detection with the needs of data security an‎d forensic traceability. For hardware-efficient encryption for resource-limited IoT nodes, at the architectural edge the framework employs sophisticated lightweight block ciphers particularly GFSPX an‎d QLW A distributed blockchain architecture is incorporated to offer an immutable an‎d transparent ledger for all network transactions an‎d fault reports, thereby doing away with single points of failure found in centralized models. To guarantee safe cross-domain authentication, this trust paradigm is extended to difficult Space-Air-Ground Integrated Networks (SAGIN). Moreover, the architecture uses dynamic lightweight key sharing combined with the Message Queuing Telemetry Transport (MQTT) protocol for effective, safe asynchronous communication. Supported by Software-Defined Networking (SDN) an‎d Edge Computing, deep learning-based autonomous anomaly detection therefore allows the near real-time detection of complicated faults while reducing latency. This all-encompassing strategy guarantees the resilience, integrity, an‎d operational continuity of the essential communication lines supporting modern society.

2/18/2026 12:00:00 AM

89719

1404/12/01

Secure Data Transmission Framework for Smart IoT-Based Network Fault Detection System for Public Communication Infrastructure

Internet of Things (IoT) , Public communication Infrastructure , Lightweight Cryptography , Blockchain Technology , Network Fault Detection