A New Trust Based Secure Routing Scheme in MANET

Sardar, Mousumi; Majumder, Koushik

doi:10.1007/978-3-319-02931-3_36

Cited by 5 publications

(8 citation statements)

References 6 publications

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“…Though diverse range of schemes have been proposed for the well-checked utilization of trust recommendations, which can be classified into weighted averaging based schemes e.g. [18][19][20][21][22], personal experience based schemes e.g. [23][24][25][26][27][28] and majority rule based schemes e.g.…”

Section: Figure 1 Acquiring Trust Recommendations In Trustmentioning

confidence: 99%

“…Utilization of trust recommendations and dealing with dishonest trust recommendations in trust management systems in MANETs is an open and challenging issue and it has attracted the efforts of many researchers in recent era. Different schemes have been proposed for treating dishonest trust recommendations and computing of indirect trust from trust recommendations in trust management system in MANETs [18][19][20][21][22][23][24][25][26][27][28][29][30][31]. These schemes can be classified into three categories: (a) weighted averaging based schemes [18][19][20][21][22], (b) personal experience based schemes [23][24][25][26][27][28] and (c) majority rule based schemes [29][30][31] [37].…”

Section: Related Workmentioning

confidence: 99%

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Filtering Dishonest Trust Recommendations in Trust Management Systems in Mobile Ad Hoc Networks

Ullah¹,

Islam²,

Khan

et al. 2022

Int. j. commun. netw. inf. secur.

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Trust recommendations, having a pivotal role in computation of trust and hence confidence in peer to peer (P2P) environment, if hampered, may entail in colossal attacks from dishonest recommenders such as bad mouthing, ballot stuffing, random opinion etc. Therefore, mitigation of dishonest trust recommendations is stipulated as a challenging research issue in P2P systems (esp in Mobile Ad Hoc Networks). In order to cater these challenges associated with dishonest trust recommendations, a technique named “intelligently Selection of Trust Recommendations based on Dissimilarity factor (iSTRD)” has been devised for Mobile Ad Hoc Networks. iSTRD exploits personal experience of an “evaluating node” in conjunction with majority vote of the recommenders. It successfully removes the recommendations of “low trustworthy recommenders” as well as dishonest recommendations of “highly trustworthy recommenders”. Efficacy of proposed approach is evident from enhanced accuracy of “recognition rate”, “false rejection” and “false acceptance”. Moreover, experiential results depict that iSTRD has unprecedented performance compared to contemporary techniques in presence of attacks asserted.

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Section: Figure 1 Acquiring Trust Recommendations In Trustmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Filtering Dishonest Trust Recommendations in Trust Management Systems in Mobile Ad Hoc Networks

Ullah¹,

Islam²,

Khan

et al. 2022

Int. j. commun. netw. inf. secur.

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“…Therefore, researchers have developed security incorporated routing protocols that support security routing. [15] Aravindh et.al., [17] proposed Trust and Energy aware Routing Protocol (TERP) to balance energy consumption of the network and trustworthiness of the nodes, in an effective manner. TERP identifies and discards bad nodes so as to provide security whereas the energy aware characteristic of the protocol distributes the network load with the prior knowledge of the energy available with the nodes.…”

Section: Literature Surveymentioning

confidence: 99%

“…As the enduring energy of each one-hop node is considered for effective neighbor selection which avoids indirect trust and path trust to prevent unnecessary update. The direct trust between CH and GW ( ) is computed by MN [15] [18] using equation 6Where, is the packets transmitted from Cluster Head and is the count of packets received by gateway node.…”

Section: Path Trust (Pt)mentioning

confidence: 99%

“…The threshold value for node [15] is computed using equation 7Published where is the number of links or connections associated with a node the gateway node. (8) where is a link between node CH (i) and gateway node (j), is a link between connecting destination at time t and R is a transmission range Node's trust value is greater than which is selected for routing by its previous neighbor.…”

Section: Path Trust (Pt)mentioning

confidence: 99%

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Secure Trust Aware Hybrid Key Management Routing Protocol for WSNs for the Application of IoT

2019

IJITEE

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Secure Trust Based Key Management Framework for Wireless Sensor Networks (WSNs) to protect the forwarded packets from intermediary malicious nodes. The proposed method continuously ensures the trustworthiness of cluster heads by replacing them as soon as they become malicious and can dynamically update the packet path to avoid malicious routes. Unlike the other methods, the process is distributed among the nodes to minimize routing overhead and to conserve energy. The fundamental process of moving node to non-switchable Low Power Listening (LPL) state assists energy conservation. Trust based neighbor selection is carried out using Gateway node (GW) and Monitoring Node (MN) monitors other node activities so as to ensure security in the network. The manifold process integrated improves network performance in terms of throughput, retaining network lifetime and conserving energy utilization at midst the presence of adversary nodes. The proposed method can significantly outperforms traditional cluster based routing protocols that do not use trust concept in selecting the forwarding nodes in packet delivery ratio. Comparisons and analysis have shown the effectiveness of the proposed scheme.

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