Blockchain Trust Model for Malicious Node Detection in Wireless Sensor Networks

• Main Authors: Wei She, Qi Liu, Zhao Tian, Jian-Sen Chen, Bo Wang, Wei Liu
• Format: Article
• Language: English
• Published: IEEE 2019-01-01
• Series: IEEE Access
• Subjects: Wireless sensor networks; blockchain; smart contract; malicious nodes; vote
• Online Access: https://ieeexplore.ieee.org/document/8668748/

The Internet of Things (IoT) has been widely used because of its high efficiency and real-time collaboration. A wireless sensor network is the core technology to support the operation of the IoT, and the security problem is becoming more and more serious. Aiming at the problem that the existing malicious node detection methods in wireless sensor networks cannot be guaranteed by fairness and traceability of detection process, we present a blockchain trust model (BTM) for malicious node detection in wireless sensor networks. First, it gives the whole framework of the trust model. Then, it constructs the blockchain data structure which is used to detect malicious nodes. Finally, it realizes the detection of malicious nodes in 3D space by using the blockchain smart contract and the WSNs' quadrilateral measurement localization method, and the voting consensus results are recorded in the blockchain distributed. The simulation results show that the model can effectively detect malicious nodes in WSNs, and it can also ensure the traceability of the detection process.