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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, the authors use a general tool which has been used in economics, statistics and data analysis. With this approach, they 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. They 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.
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