Immunity-based intrusion detection for wireless sensor networks

Wireless sensor networks (WSNs) are vulnerable to various attacks since they are distributed in unattended environments and have limited energy, storage and computation abilities. Preventive approaches can be applied to protect WSNs from some kinds of attacks. However, preventive methods are not efficient on specific attacks. So it is necessary to develop some mechanisms for intrusion detection. Intrusion detection system (IDS) not only prevents adversaries from attacking the network, but also provides attackspsila features for improving the preventive algorithms. The traditional intrusion detection algorithms canpsilat be applied directly to WSNs due to their constraints of resources. According to the problems in the current intrusion detection systems, based on immunology, we propose a novel IDS which is distributed, robust, and adaptive. The simulation results indicate that the proposed IDS has high accuracy in attack detections.

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