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• W2186864436 abstract "Mobile Ad-hoc networks are self-organized systems of nodes or installations, all cooperating to provide network functions such as routing and forwarding. Utilized in open environments, mobile ad-hoc networks are vulnerable to attack by malicious nodes, causing harm or disorder. These nodes do not reveal their identities while disrupting service. Thus, early detection is important. The network may also contain selfish nodes, installations that choose to conserve power resources rather than provide network function. Identification of selfish nodes, too, is necessary so that functional nodes do not waste resources attempting to communicate with them. Malicious nodes have the additional strategy to avoid detection by masquerading as regular nodes, providing useful network function at interval. This further complicates the detection process. In this paper we seek to demonstrate that selfish and malicious nodes can be successfully identified through our proposed attacker/defender game." @default.
• W2186864436 created "2016-06-24" @default.
• W2186864436 creator A5014107276 @default.
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• W2186864436 date "2014-04-13" @default.
• W2186864436 modified "2023-09-26" @default.
• W2186864436 title "A Bayesian game approach to coexistence with malicious and selfish nodes in wireless ad-hoc networks" @default.
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• W2186864436 hasPublicationYear "2014" @default.
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