Performance Evaluation of MANETS under Black Hole Attack for Different Network Scenarios

Joseph, Christeena; Kishoreraja, P. C.; Baskar, Radhika; Reji, M.

doi:10.17485/ijst/2015/v8i1/84653

Cited by 6 publications

(3 citation statements)

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“…The results show improved performance for the parameters false positive alarm, detection rate, packet delivery ratio, average end to end delay, routing overhead as compared to AODV with the black hole. Abhijit Deodhar and Ritesh Gujarathi [9] in their paper highlight the clustered approach as the single point of failure. This scheme protects from a situation where the cluster head is compromised.…”

Section: Literature Surveymentioning

confidence: 99%

Cluster Head Based Intrusion Detection System for Black Hole Attacks in Wireless Ad Hoc Networks using 2 Level Fuzzy Logic System

Joseph¹,

Kishoreraja²,

Baskar³

2021

Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bh

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Ad hoc networks are autonomous and infrastructure-less wireless systems where nodes act as routers and hosts. Security is the primary issue for the functionality of these networks. Security for ad hoc networks can be incorporated by prevention and detection mechanisms. This research work focuses on a two-level fuzzy-based intrusion detection system for identifying black hole attacks in ad hoc networks. This method can reduce the complexity of the rule base of the fuzzy inference system. To reduce the complexity of detection, communication overhead and to make the detection scheme energy efficient, further, a cluster-head-based intrusion detection system is designed and implemented. The impact on network performance with no attack, with black hole attack, and with intrusion detection scheme deployed in all nodes and cluster heads are analyzed. The proposed cluster-based 2 level fuzzy logic intrusion detection mechanism was able to achieve the detection rate and accuracy to a maximum of 100%,false alarm rate to 0% and detection delay to in varying attacker scenario.

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Section: Literature Surveymentioning

confidence: 99%

Cluster Head Based Intrusion Detection System for Black Hole Attacks in Wireless Ad Hoc Networks using 2 Level Fuzzy Logic System

Joseph¹,

Kishoreraja²,

Baskar³

2021

Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bh

Self Cite

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“…The lake of a central unit in MANET makes this vulnerable for many attacks, in general, there are two categories of attack: passive and active attack [8]. The malicious node with passive attacks gets traffic information without authorization such as listening.…”

Section: Misbehavior Nodementioning

confidence: 99%

An Enhanced Reputation-based for Detecting Misbehaving Nodes in MANET

Azza¹,

Hacene²

2017

IJWMT

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In this paper, we propose an enhanced approach based on first-hand reputation with allows to detected misbehavior node in Manet. The network's security is an important challenge in this kind of networks. The main objective of the misbehaving nodes in AODV routing protocol deletes all data packets that received thus, don't transmit to their destination. In a reputation-based system, each node overhears the activity of its neighbors (transmit and receive) in first-hand or combined with second-hand. Our approach is composed of three-phase directly monitoring, calculating reputation value and node isolation. The reputation value is enhanced by the packet dropped due to other events such as overloading of queue and node availability. The node with a negative reputation will be isolated, and an alert packet will be distributed to neighboring nodes to inform, afterwards an improved local repair is started. The simulation results show that the proposed approach can detect and isolate a malicious node, which improves the packet delivery ratio and lowest increasing in the throughput, while reducing the success rate of the misbehaving nodes.

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“…Due to the limitation power and mobility there is less sufficiency among them. In these wireless networks, the main things like confidentiality, availability authentication, anonymity, integrity to all the users of mobile communication [2]. There are many security attacks in MANET in which these are responsible for the failure in communication from source to destination.…”

Section: Related Studymentioning

confidence: 99%

A Detailed Study on Black Hole Attack in MANET

Kumar¹,

Bhartiya²

2016

IJCA

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Mobile Ad hoc Network is one of the most effective technologies for communication and different types of applications which are working in crucial conditions such as: Army Battle Ground, Disaster Management and similar others but due to completely wireless communication that is not much efficient and a huge number of performance losses are observed in the similar way due to the poor routing strategy, the attackers can also degrade the performance of the network. In this paper the security analysis against black hole attack is performed. In addition of that a brief literature review on recently developed techniques for detection and prevention of black hole is also reported finally based on the different novel solutions a combined effort for detection and prevention of black hole is proposed for further implementation and security of Mobile Ad Hoc Network.

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Performance Evaluation of MANETS under Black Hole Attack for Different Network Scenarios

Cited by 6 publications

References 0 publications

Cluster Head Based Intrusion Detection System for Black Hole Attacks in Wireless Ad Hoc Networks using 2 Level Fuzzy Logic System

Cluster Head Based Intrusion Detection System for Black Hole Attacks in Wireless Ad Hoc Networks using 2 Level Fuzzy Logic System

An Enhanced Reputation-based for Detecting Misbehaving Nodes in MANET

A Detailed Study on Black Hole Attack in MANET

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