A Robust Dirichlet Reputation and Trust Evaluation of Nodes in Mobile Ad Hoc Networks

Abstract

The distributed nature of mobile ad hoc networks (MANETs) presents security challenges and vulnerabilities which sometimes lead to several forms of attacks. To improve the security in MANETs, reputation and trust management systems (RTMS) have been developed to mitigate some attacks and threats arising from abnormal behaviours of nodes in networks. Generally, most reputation and trust systems in MANETs focus mainly on penalising uncooperative network nodes. It is a known fact that nodes in MANETs have limited energy resources and as such, the continuous collaboration of cooperative nodes will lead to energy exhaustion. This paper develops and evaluates a robust Dirichlet reputation and trust management system which measures and models the reputation and trust of nodes in the network, and it incorporates candour into the mode of operations of the RTMS without undermining network security. The proposed RTMS employs Dirichlet probability distribution in modelling the individual reputation of nodes and the trust of each node is computed based on the node’s actual network performance and the accuracy of the second-hand reputations it gives about other nodes. The paper also presents a novel candour two-dimensional trustworthiness evaluation technique that categorises the behaviours of nodes based on their evaluated total reputation and trust values. The evaluation and analyses of some of the simulated behaviours of nodes in the deployed MANETs show that the candour two-dimensional trustworthiness evaluation technique is an effective technique that encourages and caters to nodes that continuously contribute to the network despite the reduction in their energy levels.

DT-RRNS: Routing Protocol Design for Secure and Reliable Distributed Smart Sensors Communication Systems

“…Their components include sensing, data collection, heterogeneous connectivity, data processing, etc. [ 3 , 4 , 5 ].…”

“…The method is based on Node-Disjoint Multipath Routing [ 5 ], which allows to exchange and manage data between smart things, ensuring privacy by the threshold SSSs and Redundant Residue Number System (RRNS). We describe details of the generation of parameters that overcome the limitations of the well-known Mignotte scheme, data partitioning, and data recovery and provide a theoretical analysis of reliability and security bounds.…”

Trust evaluation model for electric power mobile Internet environment based on graph and semantic time window

“…Both the attacked entity and the entity with which it interacts are at risk of being attacked, and there are different types of entities interacting, such as user-terminal interactions. Most of the current trust evaluation models are for sibling node for trust evaluation [6][7]. In addition, the parameters, such as the time window in continuous trust evaluation, are set manually and lack adaptivity [2][3][4][5][6][7].…”

“…Most of the current trust evaluation models are for sibling node for trust evaluation [6][7]. In addition, the parameters, such as the time window in continuous trust evaluation, are set manually and lack adaptivity [2][3][4][5][6][7]. At present, research on trust evaluation models mainly can be mainly divided into two categories based on multi-attribute evaluation models [8][9][10] and machine learning models [11], both of which attach importance to the mining of multidimensional historical behavioral evidence information of network entities and the continuity and adaptiveness of the trust evaluation process.…”

“…   + go to 5;• Calculation of Semantic Time WindowsSubstitute different [ , , ]th th th    as parameters into Algorithm 1, and perform parameter optimization to minimize the formula shown in(6…”