摘要
以国家《信息安全风险评估指南》为指导,并参考NISTSP800—30的安全控制思想,构建了一套风险评估指标体系,讨论了运用改进的BP神经网络方法进行风险评估的原理。实践结果表明.利用BP人工神经网络进行风险评估是有效可行的一种风险量化算法。
Guided by the national Information Security, Risk Assessment Guide, an integrated system for risk evaluation is construced with reference to the securityt-control ideas of NIST SP800-30.Then this paper discusses a method for evalution using improved BP artificial neural networks. Further validated experiment results demonstrate the feasibility and efficiency of this quantification.
作者
彭泽伟
PENG Ze-wei (The Elementary Education College of Chongqing Normal University, Chongqing 400700, China)
出处
《电脑知识与技术》
2009年第4期2564-2565,共2页
Computer Knowledge and Technology
关键词
风险评估
BP神经网络
安全控制
指标体系
risk evaluation
BP artificial neural networks
security control
index system