计算机应用与软件2013，Vol.30Issue(8)：330-333,4.DOI:10.3969/j.issn.1000-386x.2013.08.088
支持向量机的智能信息安全风险评估模型
INTELLIGENT INFORMATION SECURITY RISK ASSESSMENT MODEL BASED ON SUPPORT VECTOR MACHINE
李绍中1
作者信息
- 1. 广州番禺职业技术学院教务处 广东广州511483
- 折叠
摘要
Abstract
In order to improve the accuracy of information security risk assessment,we put forward an information security risk assessment model which is based on support vector machine.First,the risk evaluation indexes are pre-treated by fuzzy system,and then the data is inputted to support vector machine for learning,the ant colony is used to optimise the parameters of support vector machine and an intelligent information security risk assessment model is established; finally the model performance is verified by the simulation experiment.Simulation results show that the support vector machine improves the accuracy of information security risk assessment,overcomes the defect of traditional risk assessment models,and is an information security risk assessment model with excellent performance.关键词
信息系统/风险评估/模糊理论/支持向量机Key words
Information system / Risk assessment / Fuzzy theory / Support vector machine分类
信息技术与安全科学引用本文复制引用
李绍中..支持向量机的智能信息安全风险评估模型[J].计算机应用与软件,2013,30(8):330-333,4.
