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Sensor Networks (WSNs) is computationally costly for sensor nodes due to their limited resources. For this aim, we obtain optimal strategies to save IDS agents\u2019 power, through Quantal Response Equilibrium (QRE) that is more realistic than Nash Equilibrium. A stage Intrusion Detection Game (IDG) is formulated to describe interactions between the Attacker and IDS agents. The preference structures of different strategy profiles are analyzed. Upon these structures, the payoff matrix is obtained. As the Attacker and IDS agents interact continually, the stage IDG is extended to a repeated IDG and its payoffs are correspondingly defined. The optimal strategies based on QRE are then obtained. These optimal strategies considering bounded rationality make IDS agents not always be in<jats:italic>Defend<\/jats:italic>. Sensor nodes\u2019 power consumed in performing intrusion analyses can thus be saved. Experiment results show that the probabilities of the actions adopted by the Attacker can be predicted and thus the IDS can respond correspondingly to protect WSNs.<\/jats:p>","DOI":"10.1155\/2015\/179839","type":"journal-article","created":{"date-parts":[[2015,8,9]],"date-time":"2015-08-09T17:03:19Z","timestamp":1439139799000},"page":"1-10","source":"Crossref","is-referenced-by-count":10,"title":["Quantal Response Equilibrium-Based Strategies for Intrusion Detection in WSNs"],"prefix":"10.1155","volume":"2015","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7558-5379","authenticated-orcid":true,"given":"Shigen","family":"Shen","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, Shaoxing University, Shaoxing 312000, China"},{"name":"College of Mathematics, Physics and Information Engineering, Jiaxing University, Jiaxing 314001, 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