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A correlated Bayesian game theory with extended credit score for identifying malicious and selfish node in MANET


Article Information

Title: A correlated Bayesian game theory with extended credit score for identifying malicious and selfish node in MANET

Authors: S. Sampath, S. Veni

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2018

Volume: 13

Issue: 5

Language: English

Categories

Abstract

Mobile ad hoc network (MANET) is infrastructures less, dynamic, localized network of wireless mobile nodes. MANET nodes are relies upon network cooperation mechanism to correctly work, forwarding traffic unrelated to its personal use. In early work Bayesian Correlated Equilibrium based IDS for MANET is used for detecting the malicious node and normal node in the network. In this network some nodes selfishly decide to employ partially. The presence of selfish node within the MANET may reduce performance degradation of Network. So, the MANET requires detecting the Selfish node and improves the cooperation of each node. In this paper proposed the extended credit score (xCR) with game theory to detect selfish nodes as well as malicious nodes. An efficient proposed method constructs with maximum accuracy and less computational overhead to detect malicious and selfish node detection along with Bayesian correlated Equilibrium based intrusion detection system.


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