智能手机病毒传播动力学建模理论及分析方法研究

With the growing popularity of smartphones and the continuing application services for smartphones, security problems become the focus of many researchers. How to build a scientific propagation model of smartphone viruses and to design an effective analyzing strategy to restrain virus propagation is a hot issue for Network security. We intend to conduct a study on the modeling theory and analytical methods of propagation dynamics of smartphone viruses.A node-state transition model is proposed to describe the complexity and uncertainty of virus propagation according to semi-Markov process;A bluetooth virus propagation model based on cellular automata is designed to characterize the dynamic evolution of virus transmission in the short-range communication mode. A SMS/MMS-embedded virus propagation model based on people's social relationship is built to reveal the connection between the social interaction and the spread of the viruses. Regarding the complexity of virus propagation, the complex network theory is introduced to explore a new analytical method of virus propagation. Regarding practical applications, a prototype software system is to be designed and implemented based on multi-agent technology by the use of software engineering and object-oriented programming. This project will contribute to the theoretical study on the modeling and analysis of virus propagation dynamics and the restraining strategy in smartphones, and it will provide an effective solution to the prevention and controlling of viruses in smartphones in practical applications.

随着智能手机的迅速普及和面向智能手机的各种应用服务的不断涌现，其安全问题逐渐成为人们关注的焦点。本项目针对如何构建科学的智能手机病毒传播模型和设计有效的手机病毒传播分析方法这一网络安全热点问题，拟对智能手机病毒传播动力学建模理论及分析方法进行研究。提出一种基于半马尔可夫过程的节点状态转换模型，来描述病毒的复杂性及其传播过程的不确定性；设计一种基于元胞自动机的蓝牙病毒传播模型，来刻画在近距离通信方式中病毒传播的动力学演化特性；建立一种基于社会关系图的短信/彩信病毒传播模型，来揭示人们的社会交往与病毒传播之间的联系；提出基于复杂网络理论的病毒传播分析方法来展示病毒传播的复杂性。根据实际应用环境，设计并实现基于多Agent的原型软件系统。通过本项目的研究，可望在理论上为手机病毒传播动力学建模技术及分析方法研究提供一种新的理论依据，并在实际应用中为手机病毒的防控提供一种有效的解决方案。

随着智能手机的迅速普及以及面向智能手机的各种应用服务不断的涌现，其安全问题逐渐成为人们关注的焦点。本项目针对如何构建科学的智能手机病毒传播模型和设计有效的智能手机病毒的分析方法这一网络安全热点问题，拟对智能手机病毒传播动力学建模理论及分析方法进行研究。提出基于半马尔可夫过程的节点状态转换模型，来描述病毒的复杂性及其传播过程的不确定性；设计基于社交网络和半马尔可夫过程的病毒传播模型，来揭示人们的社会交往与病毒传播之间的联系；提出基于复杂网络理论的病毒传播分析方法，来刻画病毒传播的复杂性。根据实际应用环境，设计并实现基于多Agent的原型软件系统。利用该系统验证了所提出算法及方法的有效性。本项目研究成果申请专利2项，登记软件著作权1项。发表重要国际期刊论文12篇、重要国内期刊论文2篇、重要国际会议论文6篇。培养青年教师4人。参加有影响的国内外学术会议20多次，累计邀请3位国内外专家举办学术交流报告2次，有效地促进了相关方向的研究和发展。