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Intrusion Detection for Mobile Ad Hoc Networks Based on Node Reputation
Author(s) -
Tao Lin,
Peng Wu,
Fengmei Gao,
Tianshu Wu
Publication year - 2019
Publication title -
international journal of computers communications and control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.422
H-Index - 33
eISSN - 1841-9844
pISSN - 1841-9836
DOI - 10.15837/ijccc.2019.5.3629
Subject(s) - mobile ad hoc network , computer science , reputation , computer network , node (physics) , wireless ad hoc network , intrusion detection system , computer security , reputation system , vulnerability (computing) , mechanism (biology) , network packet , telecommunications , wireless , engineering , social science , philosophy , structural engineering , epistemology , sociology
The mobile ad hoc network (MANET) is more vulnerable to attacks than traditional networks, due to the high mobility of nodes, the weakness of transmission media and the absence of central node. To overcome the vulnerability, this paper mainly studies the way to detect selfish nodes in the MANET, and thus prevent network intrusion. Specifically, a data-driven reputation evaluation model was proposed to detect selfish nodes using a new reputation mechanism. The mechanism consists of a monitoring module, a reputation evaluation module, penalty module and a response module. The MANET integrated with our reputation mechanism was compared with the traditional MANET through simulation. The results show that the addition of reputation mechanism can suppress the selfish behavior of network nodes and enhance network security.

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