Trust Based DSR Routing Protocol for Mitigating Cooperative Black Hole Attacks in Ad Hoc Networks

Mohanapriya, M.; Krishnamurthi, Ilango

doi:10.1007/s13369-013-0764-1

Cited by 20 publications

(7 citation statements)

References 13 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%

“…Recent research works focus on the manner to evaluate the trust of communication entities in wireless networks based on various theories (Guo et al , 2011) such as probabilistic estimation, information theory, fuzzy theory and game theory which have been used for designing the trust metrics. Based on this framework, several trust management models have been proposed for MANETs (De Rango and Marano, 2009; Lupia and De Rango, 2014; Mohanapriya and Krishnamurthi, 2014; Velloso et al , 2010; Xia, Jia and Sha, 2013; Xia et al , 2015), where trust can be defined as a degree of belief about the behaviour and the ability of other entities to offer services timely, integrally and reliably (Xia, Jia, Ju, Li and Zhu, 2011). However, these trust models may be inappropriate to react to malign and collusion attacks, because of the decision factors that are often incomplete in the trust derivation, which are not fully integrated with the inherent characteristics of MANETs.…”

Section: Introductionmentioning

confidence: 99%

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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%

Section: Introductionmentioning

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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“…Moreover, in order to balance selfish vs. altruistic behaviors, they also identified the best design condition of this behavior model. The authors in [16] designed a routing solution that enables the dynamic source routing protocol to find a secure end-to-end route free of black hole nodes with the cooperation from the neighbors. Also this solution can protect the network in the presence of colluding attackers without the need of promiscuous monitoring the neighbor nodes.…”

Section: Trust-based Routing Protocols In Manetsmentioning

confidence: 99%

Light-weight trust-enhanced on-demand multi-path routing in mobile ad hoc networks

Xia

Tian

et al. 2016

Journal of Network and Computer Applications

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Mobile ad hoc networks (MANETs) are originally designed for a cooperative environment, which are vulnerable to a wide variety of attacks due to their intrinsic characteristics. Trust can be introduced to address this security issue at some level. In this paper, we focus on the concept of trust and abstract a decentralized trust inference model, where the trust an entity has for a neighbor forms the basic building block of this model. Basing on the interest entity's historical behaviors, multi-dimensional trust attributes are incorporated to reflect trust relationship's complexity in various angles. The weight vector of attributes is calculated by fuzzy AHP scheme based on entropy weight measure. The trust inference framework provides the considerable security with an additional small overhead, which can be incorporated into any routing protocol. In this paper, the standard Ad hoc On-demand Multi-path Distance Vector protocol (AOMDV) is extended as the base routing protocol to evaluate this model. The proposed lightweight trust-enhanced routing protocol (TeAOMDV) can provide a feasible approach to choose an optimal two-way trusted route without containing the untrustworthy entities instead of the shortest route, thus mitigate the impairment effects from such entities. It is lightweight in the sense that the trust framework uses only passive and local monitoring information to evaluate the behaviors of an interest entity which is translated to an estimate of the trust, consumes limited computational resource. Moreover, the new proposed data-driven route maintenance mechanism reduces routing overhead and route discovery frequency. The simulations show that the proposed routing scheme behaves better in attack resistance (i.e., grey-hole attack and black-hole attack), and makes an improvement on the packets delivery ratio, routing packets overhead, route discovery frequency and malicious node detection. Finally, as an extension of the trust model, by utilizing the trust assessment data sequence, we propose an improved SCGM(1,1)-Markov chain prediction method based on the system cloud grey model and Markov stochastic chain theory to forecast entity's trust level for future decision making.

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“…It supports both unidirectional and asymmetric links. Route Discovery and Route Maintenance phases are used to achieve reliable routing in DSR [16][17][18].…”

Section: Dsr Protocol Description and Its Implicationsmentioning

confidence: 99%

“…This model also utilizes the voting mechanism to punish the malicious nodes. The author [17] proposed a trusted based DSR routing protocol also known as TBDSR to identify the collaborative black hole attacks based on route request and forward credit. Other than this work, the authors [18] [ [23][24][25][26] discuss various trust based mechanisms.…”

Section: Related Workmentioning

confidence: 99%

Trust Based Security Model to Withstand Against Black Hole and Grey Hole Attacks In Military Based Mobile Ad Hoc Networks

Sivagurunathan¹,

Prathapchandran²

2016

IJMNCT

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Significant features of Mobile Ad Hoc Networks make it suitable for modern military communication. These characteristics also weaken the security aspects in terms of attacks. Among the attacks, black hole and grey hole attacks are notable since they are launched internally and cannot be identified easily. The military communication requires confidential information sharing, ensuring correct identity of soldiers but offering such facility in military based MANET is difficult due to its unique nature. As providing authentication is a first form of security, in this article we propose a trust based security model to identifying black hole and grey hole nodes that weaken or collapse the success of mission in military communication. To provide authentication, we incorporate soldier's interpersonal characteristics in terms of Stereo trust, Situational Awareness trust and soldier's operational things in terms of first-hand information, second hand information and soldier's current trust. Simulation results show the efficiency of our proposed model in terms of identifying black hole and grey hole nodes and its performances are compared with an existing model.

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Trust Based DSR Routing Protocol for Mitigating Cooperative Black Hole Attacks in Ad Hoc Networks

Cited by 20 publications

References 13 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

Light-weight trust-enhanced on-demand multi-path routing in mobile ad hoc networks

Trust Based Security Model to Withstand Against Black Hole and Grey Hole Attacks In Military Based Mobile Ad Hoc Networks

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