基于进程行为的防沉迷模型

Model for preventing indulgence based on process behavior

防沉迷系统监控的软件大多是娱乐型软件,如游戏、视频、音频等,传统的防沉迷系统一般仅针对软件使用者的身份加以鉴别和监管,对软件本身的行为不作分析。对于此类娱乐进程运行时表现出来的行为特征,提出一种基于进程行为分析的娱乐进程监控系统模型。动态收集进程运行时产生的行为数据,通过基于迭代、分类、阀值比较的识别算法来判定出娱乐进程,进而对其使用时间进行监控。通过收集的数据和测试实验,验证该模型的可行性和有效性。

Most software monitored by Indulgence Prevention System are identified as entertainments,such as games,videos,audios etc.The traditional system merely recognizes the identities of the software users,but does not analyze the runtime behavior of the software.Based on process runtime behavior,a model for monitoring entertainment processes was proposed in this paper.The behavior data generated by processes were collected dynamically andprocessed into structural data.These integrated data were then used to determine the entertainment processes,by the identification algorithm based on iteration,classification and threshold comparison.The amount of the machine time occupied by these special processes was under control according to the rules.The feasibility and validity of the model were verified in the base of the process behavior data collected from a large scale Intranet and testing experiments.