International Journal of Science, Engineering and TechnologyAuthors: Piyali Ghosh Bhowmik, Dr. Dhirendra Kumar Tripathi
Abstract: The IoT network proliferation has brought forth stringent challenges in providing secure, energy-efficient, and privacy-preserving communications. Centralized anomaly detection systems and conventional routing protocols are usually lacking in robustness against advanced cyber-attacks and scalability. This work introduces the Federated Hybrid Secure Routing Protocol (F-HSRP), an innovative, modular design combining federated CNN-based anomaly detection, trust- and energy-aware routing, AES-256 encryption, and blockchain-assisted route validation. In contrast to current solutions, F-HSRP allows decentralized, smart threat detection and dynamic trust calculation without revealing unprocessed data. Based on the Bot-IoT dataset and simulations on NS-3 and TensorFlow Federated, the model reported 96.3% detection accuracy, saved 27% energy consumption, and enhanced packet delivery ratio to 94.8%. The proposed solution fills the gaps of scalability, latency, and privacy and is well-fitted for real-time industrial, healthcare, and smart city applications. The paper shows major steps toward future-proof, secure IoT infrastructures by interdisciplinary innovation and federated intelligence.
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