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논문검색

IT Marketing and Policy

Proposal of AI-based Digital Forensic Evidence Collecting System

초록

영어

As the 4th industrial era is in full swing, the public's interest in related technologies such as artificial intelligence, big data, and block chain is increasing. As artificial intelligence technology is used in various industrial fields, the need for research methods incorporating artificial intelligence technology in related fields is also increasing. Evidence collection among digital forensic investigation techniques is a very important procedure in the investigation process that needs to prove a specific person's suspicions. However, there may be cases in which evidence is damaged due to intentional damage to evidence or other physical reasons, and there is a limit to the collection of evidence in this situation. Therefore, this paper we intends to propose an artificial intelligence-based evidence collection system that analyzes numerous image files reported by citizens in real time to visually check the location, user information, and shooting time of the image files. When this system is applied, it is expected that the evidence expected data collected in real time can be actually used as evidence, and it is also expected that the risk area analysis will be possible through big data analysis.

목차

Abstract
1. Introduction
2. AI Technology
2.1 The techniques of Data Analysis
3. Digital Forensic Evidence Gathering Process
4. Proposed AI-based Digital Forensic Evidence Collecting System
5. Conclusions
References

저자정보

  • Eun-Jin Jang Researcher, Department of IT Convergence, Hansei University, Korea
  • Seung-Jung Shin Professor, Department of ICT Convergence, Hansei University, Korea

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