云环境下病毒传播动力学模型及最优化控制策略研究

In the era of the mobile Internet, all kinds of online social networks have become the main channel for the spread of new computer viruses. Because the traditional detection methods fail to effectively analyze and kill of new viruses and malware, and its increasing complexity also leads itself to be attacked by malware. The emergence of Cloud computing has changed the present situation, and dynamical modeling of the spread process of computer viruses is an effective approach to understanding the behavior of computer viruses. The project is intended to explore the dynamics model and optimal control strategy of virus propagation in cloud environment. The constructed dynamics model makes every effort to effectively reveal the rule of viral spread in the mobile Internet. Thereby model analysis, optimization algorithm and simulation verification determine the main factors that influence virus diffusion, and evaluate and optimize the proposed control strategy. Finally, provide a scientific basis for further study on the control methods of the rapid spread of computer virus.

在移动互联网时代，各种在线社交网络成为了新型计算机病毒传播的主要渠道。由于传统的检测方法无法对新病毒和恶意软件进行有效的分析查杀，同时其逐步提高的复杂性也导致了其本身也容易被恶意软件攻击，云计算的出现改变了这一现状，且基于计算机病毒传播过程的动力学建模也是理解病毒传播行为的有效方式。本项目旨在探索云环境下病毒传播动力学模型及最优化控制策略。所构建的动力学模型力求能有效地揭示移动互联网中病毒传播的规律，进而分析模型、优化算法及仿真验证，以确定影响病毒传播的主要因素，并对提出的控制策略进行评估与优化，为进一步研究病毒快速传播的控制方法提供科学依据。

随着互联网的不断普及，云计算、大数据、物联网等技术的兴起与发展，计算机病毒再也不像以前那样以破坏硬件软件系统为目标，而是变得更加隐蔽、高端、复杂，主要是为了窃取用户账户密码等隐私，以获得更多的经济收益。传统以杀毒软件、防火墙为主的防治方式已难以预测计算机病毒传播的长期行为。针对该问题，本项目旨在探索云环境下病毒传播动力学模型及最优化控制策略，结合理论分析与实验仿真来研究计算机病毒在网络中的传播规律，进而提出合理有效的计算机病毒防治建议与措施。该项目已经建立了几类计算机病毒传播动力学模型，并进行了动力学性质分析与真实网络仿真，所取得结果展示了计算机病毒传播的长期行为，并给出了对应的防治建议与措施。这些结果对以后进一步研究防治计算机病毒的快速传播提供了理论基础与科学依据。