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논문 기본 정보

자료유형
학술저널
저자정보
(Dongyang University)
저널정보
한국컴퓨터정보학회 한국컴퓨터정보학회논문지 한국컴퓨터정보학회 논문지 제24권 제9호(통권 제186호)
발행연도
수록면
51 - 58 (8page)

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초록· 키워드

Temporal analysis is very useful and important for digital forensics for reconstructing the timeline of digital events. Forgery of a file"s timestamp can lead to inconsistencies in the overall temporal relationship, making it difficult to analyze the timeline in reconstructing actions or events and the results of the analysis might not be reliable. The purpose of the timestamp change is to hide the data in a steganographic way, and the other purpose is for anti-forensics. In both cases, the time stamp change tools are requested to use. In this paper, we propose a classification method based on the behavior of the timestamp change tools. The timestamp change tools are categorized three types according to patterns of the changed timestamps after using the tools. By analyzing the changed timestamps, it can be decided what kind of tool is used. And we show that the three types of the patterns are closely related to API functions which are used to develop the tools.
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목차

  1. Abstract
  2. I. Introduction
  3. II. NTFS Timestamps
  4. III. Timestamp Change Tools Classification
  5. IV. Experiments
  6. V. Conclusion
  7. REFERENCES

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