A fuzzy trust-based routing model for mitigating the misbehaving nodes in mobile ad hoc networks. Issue 2 (11th June 2018)

• Record Type: Journal Article
• Authors: Beghriche, Abdesselem; Bilami, Azeddine
• Is Part Of: International journal of intelligent computing and cybernetics. Volume 11:Issue 2(2018)
• Page Start: 309
• Page End: 340
• Publication Date: 2018-06-11
• Subjects: Security -- Grey relational analysis -- Fuzzy set -- Misbehaviour -- Mobile ad hoc networks -- Trust model; Artificial intelligence -- Periodicals; Cybernetics -- Periodicals; 006.3
• DOI: 10.1108/IJICC-04-2017-0038
• Languages: English
• ISSNs: 1756-378X

Abstract

Abstract : Purpose: Security is one of the major challenges in the design and implementation of protocols for mobile ad hoc networks (MANETs). In such systems, the cooperation between nodes is one of the important principles being followed in the current research works to formulate various security protocols. Many existing works assume that mobile nodes will follow prescribed protocols without deviation. However, this is not always the case, because these networks are subjected to a variety of malicious attacks. Since there are various models of attack, trust routing scheme can guarantee security and trust of the network. The purpose of this paper is to propose a novel trusted routing model for mitigating attacks in MANETs. Design/methodology/approach: The proposed model incorporates the concept of trust into the MANETs and applies grey relational analysis theory combined with fuzzy sets to calculate a node's trust level based on observations from neighbour nodes' trust level, these trust levels are then used in the routing decision-making process. Findings: In order to prove the applicability of the proposed solution, extensive experiments were conducted to evaluate the efficiency of the proposed model, aiming at improving the network interaction quality, malicious node mitigation and enhancements of the system's security. Originality/value: The proposed solution in this paper is a new approach combining the fundamental basics of fuzzy sets with the grey theory, where establishment of trust relationships among participating nodes is critical in order to enable collaborative optimisation of system metrics. Experimental results indicate that the proposed method is useful for reducing the effects of malicious nodes and for the enhancements of system's security.