【摘要】 无线传感器网络有其资源受限的特点,单靠密码学和认证无法阻止网络内部的恶意或非恶意攻击以及节点的异常行为。融合了密码学、经济学、统计学、数据分析等相关领域的工具来建立可信的无线传感器网络,提出了一种无线传感器网络的信誉模型。其基本思想是网络中的各节点保存其他节点的信誉,并以此来计算其他节点的可信度。模型中引用了贝叶斯公式来表示、更新和整合信誉,设计了一个基于β分布的无线传感器网络信誉系统。更多还原

【Abstract】 There are unique characteristics in wireless sensor networks.Security based on cryptography and authentication alone is not sufficient,because cryptography cannot prevent malicious or non-malicious attacks from internal adversaries or faulty nodes.Tools from different domains such as economics,statistics and data analysis were combined with cryptography for the development of trustworthy wireless sensor networks.A reputation model was proposed for wireless sensor networks,and the basic principle was that nodes maintain reputation for other nodes and such reputation can be used to evaluate their credibilities.A system was developed within this model employing a Bayesian formulation,specifically a β reputation system,for reputation representation,update and integration in wireless sensor networks.更多还原