The traditional approach of providing security in sensor network was cryptography and authentication. However, the conventional approach of security based on cryptography and authentication alone is not sufficient for the unique characteristics and novel misbehaviors encountered in wireless sensor networks. In this paper, we use a general tool which borrowed from other domains such as economics, statistics and data analysis. With this approach, we propose a task and trust framework for sensor networks where nodes maintain reputation for other nodes of several different tasks and use it to evaluate their trustworthiness. We will 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 sensor nodes. The simulation results and analysis show that our framework can detect the malicious nodes fast if having abnormal result while executing some task.
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