To improve the accuracy of information security risk assessment,a method of information security risk assessment based on support vector regression(SVR)optimized by improved particle swarm optimizatio(PSO)algorithm is proposed.First,the indexes of information security risk factors are pre-treated by fuzzy theory,and the pre-treated data is inputted to the SVR model.Then,the improved PSO algorithm is used to optimize the parameters of SVR.Moreover,the SVR model is trained and an optimized information security risk assessment model is obtained.Finally,the performance of the model is verified by the simulation experiment.The experimental results show that the risk of information security can be better quantified and the accuracy of information security risk assessment is increased by the proposed method.So,the method is an effective method.
关键词
信息安全/风险评估/模糊理论/回归型支持向量机/粒子群算法/参数优化
Key words
information security/risk assessment/fuzzy theory/support vector regression/particle swarm optimization algorithm/parameter optimization
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