A Trust Based Approach for AODV Protocol to Mitigate Black Hole Attack in MANET

A Mobile Ad-Hoc Network (MANET) facilitates communication between nodes whenever & wherever required without any fixed infrastructure. Due to its self-configuring nature, arbitrary topology is formed through wireless links. Such type of Ad-Hoc networks are required at battlefield, rescue operations, during disaster management etc. Although this technology gives a broad range of application in critical conditions, it has its own lacunas. Most importantly, security is the basic issue in this communication mode due to dynamicity of nodes. To ensure secure communication, various types of cryptographic & trust based models have been put forwarded. However, cryptographic methods are not feasible due to intensive computation & low infrastructure network(MANET). Hence trust based models have come in to the existence. The present study includes review on various trust models, with their protocols, advantages & challenges.

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“…This protocol [11] focuses to mitigate black hole attack. It mainly includes promiscus mode through which neighbours trust value is calculated.…”

Section: A Trust Based Approach For Aodv Protocol To Mitigate Black Hmentioning

confidence: 99%

A Review on Trust Based Secure Routing Protocols in Ad-Hoc Networks

Patil

Admuthe²,

Patil³

2017

ijarcs

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“…These trust values classify the nodes as compromised or trustworthy. The trust based approach explained in [17] presents a collaborative approach in mitigating blackhole attacks in AODV protocol in MANET. It uses the concept of threshold value and the trust values below the threshold value are considered to be malicious.…”

Section: Related Workmentioning

confidence: 99%

A Novel Approach for Detecting Black Hole Attack in MANET

Shingari¹,

Verma²

2013

IJCA

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The communication in Mobile Adhoc Networks play a vital role in situations like natural calamities or military operations, but due to the dynamic nature of the adhoc networks, it is very important to take care of the security issues, one of the major security issues is the detection of compromised node. The calculation of trust values on the neighboring nodes can significantly solve this problem. This paper presents the calculation of trust values based on the threshold value, if trust value of a node goes beyond the predefined threshold, it is considered to be malicious. The trust value of a node is calculated by taking average of all the trust values for the node. The proposed scheme will be able to detect and isolate the compromised node from the network. General termsSecurity protocol, black hole attack, trust averaging

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“…In [21] proposes that every node keeps a trust value on its neighbors and the trust value is calculated as a ratio of number of packets dropped to the number of packets forwarded. In this method every node listens to its neighbor promiscuously.…”

Section: Trust Based Approachmentioning

confidence: 99%

A Survey on Security Solutions of AODV Routing Protocol against Black Hole Attack in MANET

Mjahidi¹

2015

IJCA

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Ad Hoc On-Demand Distance Vector (AODV) routing protocol is among the efficient routing protocols in Mobile Ad Hoc Network (MANET). Because of its routing features AODV has gained popularity compared to other routing protocols, but this protocol lacks a security features which make it more vulnerable to malicious attack particularly black hole attack. A single or cooperate black hole attacks when present in a network can deny any packet from source to reach the destination. This paper aims at presenting the current existing security techniques that are used to prevent and detect the black hole attacks in MANET.

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A Trust Based Approach for AODV Protocol to Mitigate Black Hole Attack in MANET

Cited by 39 publications

References 3 publications

A Review on Trust Based Secure Routing Protocols in Ad-Hoc Networks

A Review on Trust Based Secure Routing Protocols in Ad-Hoc Networks

A Novel Approach for Detecting Black Hole Attack in MANET

A Survey on Security Solutions of AODV Routing Protocol against Black Hole Attack in MANET

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