一种基于风险评价的无线传感器网络信任模型

摘要

针对现有无线传感器网络的信任模型未考虑风险因素，导致不能有效处理恶意节点攻击的问题，采用一种基于风险评价的信任模型(Risk evaluation basedtrust model，RBTM)。RBTM的框架由检测模块、信任计算模块和决策模块组成，并考虑上下文因素的影响。计算信任度时同时考虑推荐信誉值和风险值的影响；风险值的计算借用风险评估函数和风险信誉调节函数实现。研究结果表明：RBTM能够有效抵抗恶意节点的攻击，与已有的信任模型相比具有更大的灵敏性，较大程度地提高了对恶意行为的检测成功率，可以使节点之间更有效地建立信任关系。%Based on the fact that the existing trust models in wireless sensor networks (WSNs) do not consider the risk, which causes the attacks of malicious nodes unable to be effectively addressed, a trust model based on risk evaluation (Risk evaluation based trust model, RBTM) was adopted to solve the problem. The framework of RBTM consists of detection module, trust-computing module and decision-making module, which considers the influence of the context. Recommendation reputation and the influence of risk were considered in the calculation of the trust value, in which the calculation of the risk was realized by means of the risk evaluation function and the risk and reputation adjustment function. The results show that RBTM can resist various attacks from malicious nodes effectively and have better sensitivity than the existing trust models. It can evidently enhance successful detection ratio of malicious behavior and efficiently help nodes establish trust relationship in WSNs.