프로파일링 시각화를 위한 빅데이터 포렌식 분석 모델

Abstract

Recently, the competition among global IT companies for the market occupancy of the Big-Data is fierce. Big-Data is all the things and people around the world connected to the Internet, and it is becoming more and more intelligent. In addition, for the purpose of providing users with a customized services to variety of context-awareness, Big-Data platform and related research have been active area. For example, today as digital devices are widespread, a variety of user's private information is created and managed in digital form. In this thesis, we analyze third party instant messengers of Windows 8 Style UI and propose a digital forensic methodology. And, we are well aware of the Android-based map and navigation applications. What we want to show is GPS information analysis by using the R. And we propose a unstructured data analysis applying the KoNLP model using public data in the digital forensics modules. In addition, we propose a structured data analysis applying the hierarchical clustering model using and k-means algorithm GPS data in the digital forensics modules. The proposed model is expected to help support the Big-Data services and efficient criminal investigation process.