Mitigating Sinkhole attack in RPL based Internet of Things Environment using Optimized K means Clustering technique

Abstract

Internet of Things connects objects seamlessly for various applications viz., smart healthcare, industries, farming and many more. In an Internet of Things environment, various standards and protocols have been used to connect applications. Routing protocol for low power and lossy network is one such protocol used to connect devices for data transmission. As these protocols have been used, it is essential to preserve the security and privacy of the users. This paper proposes a secure routing protocol for low power and lossy network using an optimized k means clustering technique. Initially, every node calculates the sequence number variance, route presence ratio and transited routing messages for itself. Then optimized k means clustering technique has been used to cluster the nodes into normal and malicious. The nodes designated as abnormal are eliminated from the network. The proposed technique is simulated and performance analysis is carried out on performance metrics viz., packet delivery ratio, false positive rate and falsenegative rate.