Fast, Resource-Saving, and Anti-Collaborative Attack Trust Computing Scheme Based on Cross-Validation for Clustered Wireless Sensor Networks

Abstract

The trust computing mechanism has an increasing role in the cooperative work of wireless sensor networks. However, the computing speed, resource overhead, and anti-collaborative attack ability of a trust mechanism itself are three key challenging issues for any open and resource-constrained wireless sensor networks. In this study, we propose a fast, resource-saving, and anti-collaborative attack trust computing scheme (FRAT) based on across-validation mechanism for clustered wireless sensor networks. First, according to the inherent relationship among three network entities (which are made up of three types of network nodes, namely base stations, cluster heads, and cluster members), we propose the cross-validation mechanism, which is effective and reliable against collaborative attacks caused by malicious nodes. Then, we adopt a fast and resource-saving trust computing scheme for cooperation between between cluster heads or cluster members. This scheme is suitable for wireless sensor networks because it facilitates resource-saving. Through theoretical analysis and experiments, the feasibility and effectiveness of the trust computing scheme proposed in this study are verified.

WSN Network Node Malicious Intrusion Detection Method Based on Reputation Score

“…Theoretical and experimental analysis shows that this method can improve the computing speed. At the same time, it can effectively save energy, and can effectively resist the cooperative attack of malicious nodes [14]. Liu and Lu et al introduced the secure boot model and BDRM in the routing protocol, and proposed a secure routing protocol integrating trust evaluation mechanism.…”

“…In order to avoid the joint misleading of reputation evaluation by malicious nodes, the indirect reputation score needs to be calculated by the adjacent nodes shared by the nodes, and its calculation is shown in formula (14).…”