Research on Fast Forensic Analysis Method of Fraud cases Based on Social Software
Liu Shanjun, Songyang Wu, Luo Qian · 2021
With the rapid development of network technology, people's social methods have changed a lot, while online fraud has also emerged. The backup tool for entire APP data or entire mobile phone data are usually used to extract the fraud data in victim's social software in the past. However, the methods are inefficient in extracting evidence and cannot guarantee the privacy of the victims. Therefore, this article proposes a method for rapid forensic analysis of fraud information based on social software. This method focuses on overcoming the difficulties of data acquisition, mining useful information, and data analysis, which can extract data efficiently, and guarantee the victims' personal privacy. At the same time, social software communication protocol, decryption of encrypted files, and data analysis methods were researched. On the basis of the above research, a method and system for quickly extracting fraud information based on social software was formed. It is concluded that this method has achieved a substantial efficiency improvement compared with the commonly used mobile phone backup methods, meanwhile, Apriori algorithm was used to conduct case association analysis and trajectory analysis through experiments. This method is highly efficient and reliable in actual case investigation and evidence collection.