A Malicious Node Detection Model for Wireless Sensor Networks Security Based on CHSA-MNDA Algorithm

In order to solve untrustworthy detection results of malicious nodes and opaque result tracking process in traditional IoT, we propose a wireless sensor network malicious node detection model in this paper. It utilizes the transparency, data traceability and immutability of the blockchain to track the detection results. A cluster head selection algorithm (CHSA) and a malicious node determination algorithm (MNDA) are proposed. Finally, a detection model of malicious nodes in wireless sensor network based on CHSA-MNDA algorithm is formed. This proposed model can improve the efficiency and accuracy of malicious node detection, thereby improving the security of IoT. The simulation results show that our proposed model can improve the malicious node detection efficiency, compared with the existing malicious node detection models for wireless sensor networks. Our proposed model can solve the node security problems such as data modification in the development process of IoT effectively.