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Digital Forensic for Location Information using Hierarchical Clustering and k-means Algorithm
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 Title & Authors
Digital Forensic for Location Information using Hierarchical Clustering and k-means Algorithm
Lee, Chanjin; Chung, Mokdong;
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Recently, the competition among global IT companies for the market occupancy of the IoT(Internet of Things) is fierce. Internet of Things are 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, IoT platform and related research have been active area. In this paper, 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. In addition, we propose a structured data analysis applying the hierarchical clustering model using GPS data in the digital forensics modules. The proposed model is expected to help support the IOT services and efficient criminal investigation process.
Digital Forensic;Windows8 Style UI;Android;R;GPS;Hierarchical Clustering;K-means Algorithm;Big-Data;
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