在云环境中对恶意软件传播的最佳控制分析
Liang Tian1,2, Fengjun Shang1,2, Chenquan Gan3
1School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.
Mathematical biosciences and engineering : MBE
|September 7, 2023
概括
本研究介绍了一种最佳的动态免疫策略,用于打击云计算环境中的恶意软件传播. 拟议的方法有效地将恶意软件感染最小化,相关成本最小化.
科学领域:
- 计算机科学 计算机科学
- 网络安全 网络安全
- 网络安全 网络安全
背景情况:
- 云计算通过虚拟机 (VM) 迁移提供灵活的资源配置和能源效率.
- 虽然VM迁移是有益的,但它在云基础设施内促进了恶意软件的快速传播.
- 现有的方法很难有效地制恶意软件在动态云环境中的传播.
研究的目的:
- 开发和评估云环境的最佳动态免疫策略.
- 通过确定最有效的免疫方法,尽量减少恶意软件的扩散.
- 分析免疫有效性与相关成本之间的权衡.
主要方法:
- 使用受控动态模型来模拟恶意软件的传播.
- 定义控制策略和相关的损失函数以进行优化.
- 应用最佳控制理论进行理论和实验分析.
主要成果:
- 提出的最佳动态免疫策略显著减少了恶意软件的发生率.
- 理论分析证实了该战略的有效性.
- 实验验证证明了该方法的实际适用性和效率.
结论:
- 最佳动态免疫是缓解云计算中恶意软件传播的高度有效策略.
- 开发的模型为平衡安全和运营成本提供了一个框架.
- 这项研究为云安全的关键挑战提供了强有力的解决方案.
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