基于指标选择和加权融合的无线传感器网络安全风险评估

为提高无线传感器网络安全风险评估的准确性, 提出一种基于指标选择和加权融合的无线传感器网络安全风险评估模型. 首先建立无线传感器网络安全风险评估的指标体系, 并采用灰色关联分析法选择一些对评估结果有重要贡献的指标； 然后根据关联度对重要的无线传感器网络安全风险评估指标进行加权, 采用支持向量机拟合无线传感器网络安全风险变化特点, 并引入粒子群优化算法优化支持向量机参数; 最后与其他模型进行对比测试, 测试结果表明, 该模型获得了比对比模型更优的无线传感器网络安全风险评估结果, 评估正确率超过95%, 且提升了无线传感器网络安全风险评估效率.

Security Risk Assessment of Wireless Sensor NetworksBased on Index Selection and Weighted Fusion

In order to improve the accuracy of security risk assessment of wireless sensor network, we proposed a model of security risk assessment of wireless sensor network based on index selection and weighted fusion. Firstly, the index system of security risk assessment of wireless sensor network was established, and some indexes with important contribution were selected by grey relation analysis method. Secondly, according to the correlation degree, the security risk assessment indexes of important wireless sensor network were weighted,  support vector machine was used to fit the characteristics of security risk change of wireless sensor network, and particle swarm optimization algorithm was introduced to optimize the parameters of support vector machine. Finally, the results were compared with other models. The results show that the proposed model obtains better security risk evaluation results than the comparison model. The accuracy of the assessment is more than 95%, and the efficiency of the security risk assessment of wireless sensor networks is improved.