几种网络用户行为模型的对比研究

Comparative Study on Several Network User Behavior Models

无论是个体还是群体,驱动用户行为的动力学原理是构成网络用户行为动力模型的基础。由于行为的复杂性,在网络社区行为模型构建中,常用的研究方法有两种,即基于事件间隔时间特性和基于事件空间特性。从研究模型来看,网络行为分析依据不同的网络结构和统计方法,在模型量化及用户行为特征量的表征上通过对正常行为的建模来发现网络存在的安全漏洞,并提出积极主动的防御对策。

Whether it is an individual or group, the dynamics principle of driving user behavior is the foundation of network user behavior dynamic model. Because of the complexity of the behavior, there are always two research methods in network community behavior model building： one is based on the time between events and the space of events. From the research model, the analysis of network behavior according to the different network structure and the statistical method, on the quantification of models and the characteristic quantities of user behavior, and by modeling the normal behavior to discover the network security vulnerabilities. It will have a very important practical significance to put forward proactive defense countermeasure.