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In order to detect various kinds of malicious attacks in wireless sensor networks, we proposed a group based intrusion detection scheme which meets the efficient, lightweight and flexible property in this paper. The sensor networks are partitioned into many groups in which the sensors in each group are physically close to each other and equipped with the same sensing capability. Our intrusion detection algorithm takes into consideration of multiple attributes of the sensor nodes simultaneously to detect malicious attackers precisely. We show through experiments with real data that our algorithm can decrease the false alarm rate and increase the detection accuracy rate compared with existing intrusion detection schemes while lowering the power consumption.
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