A non‐biased trust model for wireless mesh networks. (12th October 2016)

• Record Type: Journal Article
• Authors: Tan, Heng Chuan; Ma, Maode; Labiod, Houda; Chong, Peter Han Joo; Zhang, Jun
• Is Part Of: International journal of communication systems. Volume 30:Number 9(2017)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2016-10-12
• Subjects: Dempster's rule of combination -- information fusion -- packet dropping attacks -- recommendation‐based trust model -- reputation‐based attacks -- wireless mesh networks; Telecommunication systems -- Periodicals; 621.382
• DOI: 10.1002/dac.3200
• Languages: English
• ISSNs: 1074-5351

Abstract

Abstract: Trust models that rely on recommendation trusts are vulnerable to badmouthing and ballot‐stuffing attacks. To cope with these attacks, existing trust models use different trust aggregation techniques to process the recommendation trusts and combine them with the direct trust values to form a combined trust value. However, these trust models are biased as recommendation trusts that deviate too much from one's own opinion are discarded. In this paper, we propose a non‐biased trust model that considers every recommendation trusts available regardless they are good or bad. Our trust model is based on a combination of 2 techniques: the dissimilarity test and the Dempster‐Shafer Theory. The dissimilarity test determines the amount of conflict between 2 trust records, whereas the Dempster‐Shafer Theory assigns belief functions based on the results of the dissimilarity test. Numerical results show that our trust model is robust against reputation‐based attacks when compared to trust aggregation techniques such as the linear opinion pooling, subjective logic model, entropy‐based probability model, and regression analysis. In addition, our model has been extensively tested using network simulator NS‐3 in an Infrastructure‐based wireless mesh networks and a Hybrid‐based wireless mesh networks to demonstrate that it can mitigate blackhole and grayhole attacks. Abstract : This paper proposes a novel trust model based on the Dempster‐Shafer Theory for trust aggregation. The proposed model called the Dempster‐Shafer–Trust model aims to mitigate the effects of reputation‐based attacks such as badmouthing and ballot‐stuffing attacks, including detection of packet dropping attacks. A comparison with existing trust aggregation techniques shows that Dempster‐Shafer–Trust can resist more attackers who may try to promote or demote a node's reputation in the network.