Naive Bayes and Dempster Shafer based Trust Model to Secure RPL Routing Protocol on Internet of Battlefield Things (IoBT) Environment

Abstract

Recently, the Internet of Battlefield Thing (IoBT) application is popularly used in the battlefield environment to enhance the mission effectiveness. Ensuring security in IoBT is a more crucial task because most of the IoBT nodes used in the battlefield network are resource-constrained devices. Therefore, an attacker may exploit the security vulnerabilities in IoBT devices. Achieving cooperativeness and trust on the battlefield is a difficult task in a dynamic and scalable environment. Traditional security mechanisms such as cryptography technique, anomaly detection is not suitable for a highly flexible and distributed battlefield environment. The IoBT requires a secure routing protocol based on trust instead of traditional security mechanisms to ensure secure communication on the battlefield. Hence, in this paper Naive Bayes and Dempster Shafer Trust Model (NBDSTrust) is proposed. The proposed model is specially designed for group-based communication like a battlefield environment. In the mobile and wireless IoBT environment, each node is responsible to evaluate and maintain the trust value of the neighbor nodes. The proposed model identifies the black hole attack and isolates the malicious IoBT nodes from the network. In the battlefield environment, both QoS trust and social trust are important which are received from the communication and social network. This model uses the Naive Bayes and Dempster Shafer Theory to detect and remove the misbehaving IoBT nodes from the battlefield environment. The Naive Bayes is the machine learning technique to classify and predict the node’s behavior that provides an accurate trust estimation for IoBT nodes that assist to select trusted nodes for routing operation in the IoBT network. The Dempster Shafer Theory is a belief theory that combines several recommendation trusts and reduces the impact of the bias recommendation. The mathematical analysis has proven the applicability of the NBDSTrust in such IoBT. The simulation results show that the proposed model is better than the others in terms of various performance metrics.