Abstract:

In order to achieve a higher detection rate and a lower false positive rate of internal nodes intrusion detection in wireless sensor networks (WSNs), an intrusion detection scheme of cluster WSNs based node trust value is proposed. In this scheme, variety of typical trust attributes of nodes are defined by analyzing the typical network attack characteristics in WSNs, and the theory of Mahalanobis distance is used to judge whether the trust attributes are abnormal to determine whether the nodes are abnormal. Finally, the node trust value which is used to judge the intrusion detection is calculated and updated based on the Beta distribution theory combined with the abnormal discount factor. The simulation results show that the scheme can detect common intrusion and has a higher detection rate and a lower false positive rate.