earticle

영어

Cryptography and Authentication is the traditional approach to provide security in WSNs(Wireless Sensor Networks). However, that conventional approach is not sufficient for the unique characteristics and novel misbehaviors encountered in WSNs. In this paper, we use a general tool which has been used in economics, statistics and data analysis. With this approach, we propose a task-based trust management framework for WSNs where nodes maintain reputation for other nodes of several different tasks and use it to evaluate their trustworthiness. We show that this framework provides a scalable, diverse and a generalized approach to recognize all types of misbehavior resulting from malicious or faulty sensor nodes. Our framework has more simple trust computation than ATSN and more suitable for scarce power resource nodes. The simulation results and analysis show that our framework can detect the malicious nodes fast if having abnormal result while doing certain task with other nodes.