Criminal Network Mining by Web Structure and Content Mining

摘要

Criminal web data provide unknown and valuable information for Law enforcement agencies continuously. The digital data which is applied in forensics analysis includes pieces of information about the suspects' social networks. However, there is challenging issue with regard to analysing these pieces of information. It is related to the fact that an investigator has to manually extract the useful information from the text in website and then establish connection between different pieces of information and categorise them into a structured database with which the set becomes ready to use various criminal network analysis tools for examination. It is believed that such process of preparing data for analysis which is done manually is not efficient because it is likely to be affected by errors. Besides, since the quality of resulted analysed data depends on the experience and expertise of the investigator, its reliability is not constant. In fact, the more experienced is an operator, the better result is gained. The main objective of this paper is to address the procedure of investigating the criminal suspects of forensic data analysis which cover the reliability gap by proposing a framework.