通过免疫和改进的网络游戏方法,在可重新配置的网络中保持网络弹性.
Maxim Kalinin1, Evgeny Pavlenko1, Georgij Gavva1
1Institute of Computer Science and Cybersecurity, Peter the Great St. Petersburg Polytechnic University, 29 Polytekhnicheskaya ul., 195251 St. Petersburg, Russia.
这项研究介绍了一种新的网络弹性技术,它结合了网络免疫和游戏来重建拓. 该方法有效地保护可重新配置的网络免受攻击,同时最大限度地降低重组成本.
科学领域:
- 网络安全 网络安全
- 网络工程 网络工程
- 计算机科学 计算机科学
背景情况:
- 可重新配置的网络需要对网络威胁进行强有力的保护.
- 在攻击期间维护网络功能和结构完整性至关重要.
- 现有的方法可能缺乏适应性保护的效率和成本效益.
研究的目的:
- 提出和评估一种用于保护可重新配置网络的新技术.
- 通过拓重建来增强网络弹性.
- 结合网络免疫和游戏来进行自适应防御.
主要方法:
- 使用免疫和网络游戏的组合实现拓重建.
- 开发全球和本地免疫策略的正式描述.
- 使用网络游戏模型进行拓分析并识别关键节点/部门.
- 改进网络游戏方法,以最大路径长度为优化标准.
主要成果:
- 拟议的方法有效地在功能范围内保持系统质量.
- 显著降低了系统保护性重组成本.
- 该技术在识别断开/替换节点和受影响网络部门方面被证明是有效的.
- 通过结合优化和免疫,保持网络的结构完整性.
结论:
- 免疫和网络游戏的综合方法为可重新配置网络中的网络弹性提供了强大的解决方案.
- 该方法在功能性保存和结构完整性之间提供了有效的平衡.
- 优化的技术减少了与网络保护和重组相关的开销.
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