关键词: 涉网犯罪, 数据分析, 行为数据, 属性数据, 行为分析, 异常行为

Abstract: Public security big data and its data analysis methods have played a huge role in the investigation of traditional cases in the past 10 years. However, as involving cybercrime become the mainstream of current illegal crimes, traditional big data and data analysis methods are no longer effective. The noncontact characteristics of involving cybercrime determine that the public security data source should be extended to equipment data and behavior data, and the data analysis method should be changed to identification and analysis of abnormal behavior data. This will meet the needs of cracking down and prevention and management of current involving cybercrimes. Therefore, it is necessary to fully grasp the characteristics of various involving cybercrimes and build a knowledge base to identify abnormal behavior characteristics, so as to output primary intelligence of abnormal behavior data. And on this basis, we need to combine the characteristics of various public security services, build a model for data analysis, and finally output a mature information with high accuracy.

Key words: involving cybercrime, data analysis, behavior data, attribute data, behavior analysis, abnormal behavior