首页|基于异常行为特征识别的网络空间犯罪防控治理体系构建

基于异常行为特征识别的网络空间犯罪防控治理体系构建

Prevention and Control System of Cyber Space Crime Based on Abnormal Behavior Recognition

扫码查看
针对传统犯罪发案数不断下降、网络空间犯罪数不断上升的现状,剖析传统犯罪案件侦查的时空逻辑、物证推理和因果关系三个底层逻辑及其运行机理,并分析这三个底层逻辑在网络空间犯罪治理中失灵的原因.阐述网络空间构成的网络平台、网络数据、网络用户和网络行为四要素,并揭示网络空间犯罪治理的底层逻辑——异常行为特征识别,提出基于异常行为特征识别方法,构建网络空间犯罪治理的理论体系,为适应新形势提出公安工作未来应在队伍建设、法律建设、数据建设和防控治理方面进行改革.
In view of the declining number of traditional crimes and the rising number of cybercrime cases,this paper analyzes the underlying logics and operation mechanism of spatiotemporal logic,physical evidence reasoning and causal relationship in the investigation of traditional crime,and elaborates the reasons for the failure of these three underlying logic in the governance of cyberspace crimes.Based on the four elements of cyberspace:network platform,network data,network users and network behavior,it reveals the key to cybercrime governance:abnormal behavior identification.Therefore,a method to detect abnormal behaviors is proposed to build a theoretical system of cybercrime governance.It also suggests public security authorities carry out reform in terms of team building,legal construction,data construction,and prevention and control governance in order to adapt to the new situation.

cyber space crimephysical space crimeabnormal behaviorunderlying logic of crimeprevention and control system

江汉祥、曾鹏

展开 >

国投智能(厦门)信息股份有限公司,福建 厦门 361008

福建省电子数据存取证重点实验室,福建 厦门 361008

中国人民公安大学,北京 100038

厦门市公安局,福建 厦门 361008

展开 >

网络空间犯罪 物理空间犯罪 异常行为 犯罪底层逻辑 防控治理体系

2024

中国人民警察大学学报
中国人民武装警察部队学院

中国人民警察大学学报

影响因子:0.378
ISSN:2097-0900
年,卷(期):2024.40(12)