INTELLIGENCE SECURE ROUTING ALGORITHM FOR IOT NETWORKS

Authors

  • Dr. Sanjeev Ranjan and Dr. Rupam Kumari

DOI:

https://doi.org/10.70135/seejph.vi.3506

Abstract

The advance in the IoT has brought new challenges in the area of communication in such networks especially in secure, efficient and reliable manner in constrained and dynamic environment. This work introduces the “Intelligent Secure Routing Algorithm which is a more layered solution in an attempt to solve these challenges by incorporating cryptographic methods, trust assessments, and machine learning classifiers to identify threats. The algorithm continuously calculates trust levels for IoT nodes depending on packet delivery, probability of communication, and energy efficiency that allows the exclusion of fake or unreliable nodes. With reinforcement learning, the algorithm selects the most suitable routing decision in order to achieve the best of both security and energy consumption as well as network performance. Realistic benchmarking proves the effectiveness of the use of an algorithmic approach over conventional strategies by providing higher network throughput, better PDR, decreased delay, and optimized energy utilization. It also successfully counteracts most of the IoT risks such as DoS and MITM attacks with real-time anomaly detection and immediate node isolation. It is also important to note how this algorithm can be implemented in critical IoT use cases: health, manufacturing, smart city. The results confirm the effectiveness of the algorithm, and the further study is recommended to be conducted toward practical application, blockchain and edge computing, and the use of deep learning for improving the algorithm performance. Thus, this work presents the Intelligent Secure Routing Algorithm as a reliable and efficient approach to improving the security and reliability of IoT networks communication.

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Published

2025-01-14

How to Cite

Dr. Sanjeev Ranjan and Dr. Rupam Kumari. (2025). INTELLIGENCE SECURE ROUTING ALGORITHM FOR IOT NETWORKS. South Eastern European Journal of Public Health, 410–421. https://doi.org/10.70135/seejph.vi.3506

Issue

Section

Articles