2015 International Conference on Signal Processing and Communication Engineering Systems 2015
DOI: 10.1109/spaces.2015.7058292
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Addressing packet forwarding misbehaviour using trust-based approach in Ad-hoc networks: A survey

Abstract: Mobile ad hoc networks (MANETs) are spontaneously deployed over a geographically limited area without wellestablished infrastructure. In a distributed Mobile Ad Hoc Network (MANET), collaboration and cooperation is critical concern to managing trust. The networks work well only if the mobile nodes are trusty and behave cooperatively. Due to the openness in network topology and absence of a centralized administration in management, MANETs are very vulnerable to various attacks from malicious nodes. In order to … Show more

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Cited by 5 publications
(4 citation statements)
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References 23 publications
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“…We have study many research paper [4] from trust management and fuzzy logic. Some of the important papers are defined as below SrinivasSethiet al [5] proposed FTAR that used Ant-Colony Optimization (ACO).…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…We have study many research paper [4] from trust management and fuzzy logic. Some of the important papers are defined as below SrinivasSethiet al [5] proposed FTAR that used Ant-Colony Optimization (ACO).…”
Section: Related Workmentioning
confidence: 99%
“…In this section, we presented the change of the selection of the most secure and solid route by building up the trust administration [4] between the nodes. Also, we likewise characterize the fuzzy logic rule prediction strategy to recognize the protected route by segregating the malicious nodes.…”
Section: Proposed Fuzzy Trust Based Routing Schemementioning
confidence: 99%
“…We have survey many research paper [4] on the basis of trust management and fuzzy logic. Some of important paper is define as below:…”
Section: Related Workmentioning
confidence: 99%
“…In this section we introduced the improvement of the selection of most secure and reliable route by establishing the trust management [4] between the nodes. As well as, we also define the fuzzy logic rule prediction method to detect the secure route by isolating the evil nodes.…”
Section: Proposed Systemmentioning
confidence: 99%