Research On Dynamic Key Management Scheme In Wireless Sensor Networks

Past few years, WSN(Wireless Sensor Networks) has gone through a fast development, itmade a great process both in academic study and practical applications.WSN and PervasiveComputing are closely related, they both tightly connect human living environment withpeople’s life, which are development trend of the future information processing technology.Sensor nodes in WSN are not only resource-constrained but feeble capability inself-protection, also as deployed into the complex environment, so that it is a criticalchallenge to ensure the safety during WSN is running. As a important support technology, keymanagement scheme is one of the main technology that protecting the safe operation of thenetwork. Previous studies showed that asymmetric encryption technology or the securityschemes based on trusted third-party programs which are used successfully in the traditionalnetwork are not suitable for sensor networks. However, thanks to the low overhead,symmetric encryption is the most widely used technology in the current key managementscheme.EBS (Exclusion Basis Systems) is a symmetric encryption scheme based on thecombination principle, which can efficiently expel failed nodes and update key system whilethe WSN is running. That improve the flexibility of the network, more important is to enhancethe WSN security. Lack the ability to resistant the node collusion is a main drawback of EBS,this paper propose a extended model——EEBS dynamic key management model to resolvethe problem. The model reduce the correlation between the key combinations to decrease thethreats brought by some failed nodes, it can efficiently expel p collusion nodes and update keysystem by optimized key assignment method, p is a variable confirmed during the designprocess of the model.Base on this model, this paper proposed a system to analyze the performance of themodel when it is using in the practical application. When we design the system, we assume itcan efficiently expel two failed nodes, which is the most general case happened during theWSNs’ running. To solve the case that multiple nodes are captured and they can share theirknowledge, the system band the private key of the node with the updated key, which cancomplete the eviction of multiple failed nodes as well as the upgrading of key system. Finally,through the analysis of the experiment, the proposed model shows a excellent performanceabout the recovery of the network when it was threatened by nodes collusion. The modelsignificantly enhances the security of WSN.