Fuzzy Reputation Based Trust Mechanism for Mitigating Attacks in MANET

S., Maheswari; Vijayabhasker, R.

doi:10.32604/iasc.2023.031422

Cited by 2 publications

(1 citation statement)

References 37 publications

(39 reference statements)

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“…Along with spider monkey optimization and swarm Intelligence technique proposed by the study [19] to detect the black hole attackers and proved the result performs better performance. Fuzzy logic scheme based black hole and gray hole attack detection method proposed by the study [20] and simulation results achieved greater performance improvement. This research work could be achieved by adding techniques called Watch Dog to monitor the forwarding time of each packet on every node which participates in the communication.…”

Section: Introductionmentioning

confidence: 85%

Enhancing MANET Security: A Watch Dog Routing Algorithm Approach for Intruder and Black Hole Attack Detection

Hemalatha,

Vijayakumar,

Gurunathan

et al. 2024

IJCMEM

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When wireless nodes communicate without the use of infrastructure, the network is subject to security breaches. Mobile Adhoc Network (MANET) is one of the most vulnerable wireless networks in terms of security breaches. The most common types of security breaches are intruders and attackers, whose tasks are to reduce the internal performance of the network. Many research studies are focused on detecting and preventing these two security threads. This article focuses on intruder and black hole attackers and their communication. Several techniques were proposed for thwart the intruders and attackers in the Mobile Adhoc Network communication by using the modern technologies which are an additional load to the nodes operation and these techniques could not be able to predict the attacker before it was done. To achieve this goal, this article proposed the Watch Dog approach involves routing protocol to monitoring the forwarding time of all nodes in the transmission. Delays in forwarded time nodes could indicate an intruder, while discarding the forwarded node could indicate a black hole attacker. The proposed Watch Dog routing algorithm with classification technique was implemented with a network simulator with Adhoc On Demand Vector protocol named as WD-AODV, and the simulation results were compared to a modern techniques of Fuzzy Logic based AODV (FL-AODV), Machine Learning-based AODV (ML-AODV) and Artificial Intelligence based AODV (AI-AODV) routing protocol. The compared results of attack rates, attack detection time, Packet delivery ratio and End to End delay showed that the Watch Dog-based attacker and intruder detection methods perform better by more than 59%, with excellent performance factors of 69%.

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Section: Introductionmentioning

confidence: 85%

Enhancing MANET Security: A Watch Dog Routing Algorithm Approach for Intruder and Black Hole Attack Detection

Hemalatha,

Vijayakumar,

Gurunathan

et al. 2024

IJCMEM

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Hybrid ELECTRE and bipolar fuzzy PROMOTHEE‐based packet dropping malicious node mitigation technique for improving QoS in WSNs

Madhavi,

Praveen,

Jagatheswari

et al. 2024

Int J Communication

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SummaryIn wireless sensor networks (WSNs), trusted routing path needs to be determined for guaranteeing reliable data dissemination with maximized Quality of Service (QoS). But the sensor nodes may not exhibit a cooperative behavior for the objective of conserving energy and remaining active in the network. Trust management techniques are essential for alleviating the problem of packet dropping attacks of sensor nodes that intentionally deteriorates the performance of the network. In this paper, Hybrid ELECTRE and bipolar fuzzy PROMOTHEE‐based trust management (HEBFPTM) scheme is proposed for addressing the impact of packet dropping attacks that targets on improving QoS in WSNs. This is proposed as a multi‐criteria decision analysis solution for obtaining feasible number of parameters that could be derived from the sensor nodes of the network to determine its cooperation degree in the network. This HEBFPTM is proposed with the objective of integrating the ordinal evaluation of mobile nodes into a cardinal procedure using the method of PROMETHEE to attain quantitative and qualitative analysis that aides in identifying the weights of each criterion considered for cooperation determination using pairwise comparison. It adopted three preference models using partial, complete, and outranking through intervals. It handled the problem of uncertainty using the merits of bipolar fuzzy that helped in attaining the weight of the criteria and preference functions used for ranking the sensor nodes in the routing path. The experiments of the proposed HEBFPTM achieved using ns‐2 simulator confirmed its efficacy in improving the attack detection rate by 21.38%, reduced false positive rate by 15.42%, maximized packet delivery rate of 18.94%, and reduced energy utilization of 19.84% better than the benchmarked approaches used for investigation.

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Fuzzy Reputation Based Trust Mechanism for Mitigating Attacks in MANET

Cited by 2 publications

References 37 publications

Enhancing MANET Security: A Watch Dog Routing Algorithm Approach for Intruder and Black Hole Attack Detection

Enhancing MANET Security: A Watch Dog Routing Algorithm Approach for Intruder and Black Hole Attack Detection

Hybrid ELECTRE and bipolar fuzzy PROMOTHEE‐based packet dropping malicious node mitigation technique for improving QoS in WSNs

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