A Secure Trust-based Location-Aided Routing for Ad Hoc networks

Wang, Kun; Wu, Meng; Xia, Pengrui; Su-bin, Shen

doi:10.1109/chinacom.2008.4685154

Cited by 6 publications

(3 citation statements)

References 6 publications

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“…We can classify all the works that try to mitigate and stimulate the misbehaved or uncooperative node into four categories: “credit-based systems” (Anderegg and Eidenbenz, 2003; Buttyan and Hubaux, 2001; Jiang et al , 2015; Yang et al , 2002; Zhong et al , 2003), “acknowledgement-based systems” (Liu et al , 2007; Padmanabhan and Simon, 2003; Xue and Nahrstedt, 2004), “trust management and reputation-based systems” (Buchegger and Le Boudec, 2002; He et al , 2004; Marti et al , 2000; Michiardi and Molva, 2002; Sen, 2010; Velloso et al , 2010) and “trust-based routing protocols” (De Rango and Marano, 2009; Ghosh et al , 2005; Lupia and De Rango, 2014; Mohanapriya and Krishnamurthi, 2014; Serique and De Sousa, 2012; Wang and Wu, 2011; Xia, Jia, Ju, Li and Sha, 2013; Xia et al , 2015). Some of the related previous works that have been carried out in order to make ad hoc networks more trustworthy are explained in this section.…”

Section: Related Workmentioning

confidence: 99%

A fuzzy trust-based routing model for mitigating the misbehaving nodes in mobile ad hoc networks

Beghriche

Bilami

2018

IJICC

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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.

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Section: Related Workmentioning

confidence: 99%

A fuzzy trust-based routing model for mitigating the misbehaving nodes in mobile ad hoc networks

Beghriche

Bilami

2018

IJICC

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“…Various kind of attacks such as collusion attack, free riding, selective attack, routing disruption attack, resource consumption attack are mentioned in [1], [2] and [3] previously. These behaviors not only confuse the trust evaluation among nodes, but also occu ply the resources which are limited and precious in Ad Hoc networks.Until now, many trust models have been proposed against threats.…”

Section: Introductionmentioning

confidence: 99%

A trust based cooperative model for congestion in ad hoc networks

Zhao

et al. 2010

2010 International Conference on Computer Application and System Modeling (ICCASM 2010)

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Ad hoc network is flexibly formed by a group of peer nodes and depends on the irresponsible cooperation among them, so it is vulnerable to various attacks. Thus, trust is introduced to promote nodes to transmit messages. Nodes with higher trust values are more easily selected for transmission which results in unbalanced load distribution. Therefore, packets from different sources are more likely to meet others at the same nodes. Consequently, congestion forms and trust values of congestion nodes decrease. Learning from social life, trust values decrease fast and increase slowly. Then congestion nodes encounter false trust fluctuation, resulting in that source nodes lose the best candidates to transmit packets and the performance of the whole network degrades. Thus, a trust based cooperative model for congestion is proposed to prevent false trust fluctuation and improve successful transmission rate.Simulation results show that congestion easily happens in busy networks and is largely alleviated by our method.

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“…In this paper, we adopt the revised D-S combination rule which includes a consistent intensity to calculate nodes' trust value. [15] introduced the trust metric which depended on network traffic statistics to evaluate the trust and then loaded the trust model on the previously proposed distance-based locationaided routing (LAR). The algorithm utilized direct trust and recommendation trust to prevent malicious nodes from joining the forwarding.…”

Section: Trust Evaluationmentioning

confidence: 99%

A Credible Routing Based on a Novel Trust Mechanism in Ad Hoc Networks

Ran

Che

Wang

et al. 2013

International Journal of Distributed Sensor Networks

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Many existing routing protocols in Mobile Ad hoc Networks (MANETs) focus on finding paths in dynamic networks without considering security. In this paper, we propose a trust model which evaluates neighbours' direct trust by factors of encounter time, mobility, and successful cooperation frequency. The revised D-S evidence theory is used to combine multiple recommended pieces of evidence and obtain the recommended trust value. Then based on the novel trust mechanism, we propose a trusted routing protocol named TDS-AODV protocol by extending the AODV protocol. In this protocol, a node makes a routing decision according to the trust values of its neighbour nodes. Finally, two routes are built: the main route with highest route trust value in the candidate routes and a backup route. Simulation results reveal that TDS-AODV can eliminate malicious nodes effectively when building the route; furthermore, it also achieves better performance than TAODV and AODV in terms of throughput, packet delivery ratio, and average end to end delay.

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A Secure Trust-based Location-Aided Routing for Ad Hoc networks

Cited by 6 publications

References 6 publications

A fuzzy trust-based routing model for mitigating the misbehaving nodes in mobile ad hoc networks

A fuzzy trust-based routing model for mitigating the misbehaving nodes in mobile ad hoc networks

A trust based cooperative model for congestion in ad hoc networks

A Credible Routing Based on a Novel Trust Mechanism in Ad Hoc Networks

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