| 引用本文: | 陈光,匡兴华.基于遗传算法的信息系统安全技术方案.[J].国防科技大学学报,2005,27(6):130-134.[点击复制] |
| CHEN Guang,KUANG Xinghua.The Information System Security Technology Scheme Based on Genetic Algorithm[J].Journal of National University of Defense Technology,2005,27(6):130-134[点击复制] |
|
| |
|
|
| 本文已被：浏览 6390次 下载 5570次 |
| 基于遗传算法的信息系统安全技术方案 |
| 陈光, 匡兴华 |
|
(国防科技大学 信息系统与管理学院，湖南 长沙 410073)
|
| 摘要: |
| 组织如何制定优化的信息安全技术方案以降低脆弱性对其信息系统的威胁，是信息安全管理领域的关键问题。在描述信息系统安全技术方案决策模型的基础上，提出了一种求解信息系统安全技术方案优化问题的自适应遗传算法，使得组织能以最少的方案实施费用最大限度地处置脆弱性，并以实例说明了该算法的有效性。 |
| 关键词: 信息系统 安全技术方案 遗传算法 脆弱性 |
| DOI： |
| 投稿日期：2005-06-09 |
| 基金项目:国家自然科学基金资助项目(70272002)；国防科技大学校预研基金资助项目(JC02-00-024) |
|
| The Information System Security Technology Scheme Based on Genetic Algorithm |
| CHEN Guang, KUANG Xinghua |
|
(College of Information System and Management, National Univ. of Defense Technology, Changsha 410073，China)
|
| Abstract: |
| How can the organizations form optimum system security technology schemes to reduce the threat caused by vulnerabilities of their information systems is the key problem in information security management field. On the basis of describing the multi-goal decision-making model of the information system security technology scheme, this paper presented a self-adaptive genetic algorithm for security technology scheme of the information system enabling the organizations to choose the minimal-cost security technology scheme that can address the maximum vulnerabilities. And examples are given to demonstrate the validity of the algorithm. |
| Keywords: information system security technology scheme genetic algorithms vulnerability |
|
|
