비정형 데이터 네트워크 기법의 수사 활용 연구: 보이스피싱 대응 수사 지원을 중심으로

Abstract

Despite the policy of smart policing and data-based police activities, the response to voice phishing crimes has not improved. Voice phishing crimes are crimes in which an organized investigation by the police and countermeasures by sharing information with financial and communication agencies are important. Several suggestions for improvement exist as prior studies, but no practical action has been made or delayed. One of the reasons is that the way the police process voice phishing data is not yet sophisticated. The most important information, key information such as crimes and crimes, and phone numbers, are collected around unstructured data. This study studied the technology of extracting key terms such as phone numbers, account numbers, and criminal methods from unstructured data. We presented an example of constructing a dataset by extracting target information through Python and visualizing a person, account, number, and case number received by the police using a Gepi program. This technique gives the investigative team a way to gather information from several scattered events to investigate. In addition, financial and telecommunications organizations can stop and delay transactions in suspected crime accounts, and telecommunications companies can also act as an operating framework to stop phone numbers used for crime.