A Skellam Distribution Inspired Trust Factor-Based Selfish Node Detection Technique in MANETs

Priya, M. Deva; Malar, A. Christy Jeba; Sengathir, J.; Akash, T.

doi:10.1007/978-981-33-4501-0_34

Cited by 2 publications

(2 citation statements)

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“…18 By sending route discovery packets, the midway nodes establish a connection to the relative destination during the route discovery. 19,20 All neighbors receive information about the Route Request (RREQ). The Route Reply (RREP) responds to the number of resources in the sender node's coverage range.…”

Section: Introductionmentioning

confidence: 99%

“…To create routes when necessary, the researchers creates reactive protocols containing Ad hoc On‐Demand Distance Vector (AODV), which is based on ad hoc operation 18 . By sending route discovery packets, the midway nodes establish a connection to the relative destination during the route discovery 19,20 . All neighbors receive information about the Route Request (RREQ).…”

Section: Introductionmentioning

confidence: 99%

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An artificial immune system‐based algorithm for selfish node detection in Mobile Ad Hoc Networks (MANETs)

Gowtham,

Vigenesh,

Ramkumar

2024

Trans Emerging Tel Tech

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The Mobile Ad Hoc Network (MANET) depending on dynamic distributed topology presents several challenges such as decentralized infrastructure. In MANET, each node act as a host as well as a router to exchange packet. From Source to destination, the MANET nodes offer the ability of transmission to send, receive, and route traffic. Moreover, the presence of selfish nodes or malicious nodes in MANETs significantly degrades network performance. Identifying and isolating such nodes poses a formidable challenge. Consequently, this research introduces a security model founded on the principles of an Artificial Immune System (AIS) to detect and defend against Selfish Node (SN) attacks. This research work employs the principles of AIS to categorize a node's behavioral state based on the Mature Context Immune Antigen Rate (MCIAR). Subsequently, a hybrid protocol named Reliable History‐dependent Resource Conscious Clustered and Defensive AODV (RRCC‐DAODV) is introduced to detect Selfish Nodes (SNs) and counteract their attacks. Within the RRCC algorithm, the identification of selfish nodes relies on both Trust Value (TV) and Residual Energy (RE). Additionally, the proposed DAODV protocol incorporates the V‐detector algorithm to enhance defense mechanisms against potential attacks. The simulation of the proposed model is carried out in NS3. The proposed mechanism achieves a detection ratio of 94.05%. The simulation outcomes demonstrate the excellence of the implemented system. This superiority is observed when compared to other standard protocols, as indicated by the parameters of throughput, residual energy, packet delivery ratio, and delay.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%