Research on Communication Network Fraud Detection and Prevention Countermeasures Based on Intrusion Detection Data Mining

Abstract

With the rapid development of information technology and the rapid popularization of Internet, the continuous innovation and upgrading of computer and interconnection technology have been brought about. Communication network fraud, as a new type of crime, usually uses mobile phones, fixed telephones, transparent transmission tools, pseudo base stations and other communication equipment, using false facts or covering up the truth to commit fraud. At present, communication network fraud is characterized by diversification of means, modernization of technology and concealment of methods. The public security organs should combine the current reality of public security work, and explore a practical investigation and prevention path in the fields of department linkage, capital investigation and control, combating upstream and downstream crimes, and technical prevention. In this paper, the network intrusion detection technology is studied, the intrusion detection process is analyzed, and the data mining algorithm and how to apply the data mining algorithm to the communication network fraud detection and prevention are studied.