• R. Elango
• D. Maruthanayagam

This literature review explores the implementation of trust-based secured routing systems in the Internet of Things (IoT) using machine learning techniques. It begins with an overview of the significance of secure routing in IoT networks and the importance of trust management. The review delves into existing trust-based routing approaches and discusses the role of machine learning in enhancing trust evaluation. Various machine learning algorithms used for trust assessment are analyzed, highlighting their advantages and limitations. The review concludes with an assessment of challenges, future directions, and potential advancements in the field, emphasizing the critical role of trust-based routing systems in enhancing IoT security.

Internet of Things, IoT routing, trust management, machine learning, Quality of Service (QoS) and security

"ENHANCING SECURITY IN IOT ROUTING: A LITERATURE REVIEW ON TRUST-BASED SECURED ROUTING SYSTEMS LEVERAGING MACHINE LEARNING ALGORITHMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.b228-b236, May-2024, Available :http://www.jetir.org/papers/JETIR2405131.pdf

"ENHANCING SECURITY IN IOT ROUTING: A LITERATURE REVIEW ON TRUST-BASED SECURED ROUTING SYSTEMS LEVERAGING MACHINE LEARNING ALGORITHMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppb228-b236, May-2024, Available at : http://www.jetir.org/papers/JETIR2405131.pdf