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e-Forensic Tool Research for Obtaining Legal Evidence Ability of Digital Evidence by Intelligence Inspection

디지털 증거물의 법적능력 확보를 위한 정보감사용 e-Forensic 툴 연구

  • Received : 2017.05.30
  • Accepted : 2017.06.30
  • Published : 2017.06.30

Abstract

This research is about the development of e-forensic tool that extract & analyze different forms of digital evidence that individuals come across in a disaster scene. The tool utilizes digital forensic techniques which makes the tool efficient in any disaster analysis situation. In order for the forensic evidence to be selected as legal evidence, the evidence needs to be proven that it is in its original state with no forgery involved. This is where the e-forensic tool comes in, as its ability to collect digital evidence during investigation has proven; that the tool can keep the evidence in its original state and increase the integrity by generating hash TAG and adding the forensic evidence to a password encoded file.

본 연구는 재해현장에서 발생한 다양한 형태의 디지털 증거물을 채집 분석하는데 있어 디지털 포렌식 기법에 입각하여 효율적으로 재해 현장 디지털 데이터를 채증할 수 있는 e-Forensic 툴 개발에 관한 것이다. 현장에서 채집한 다양한 디지털 증거물이 법적 증거물로 채택되기 위해서는 디지털 증거물이 위변조가 없는 원본과 동일한 상태임을 입증해야만 하는데 이를 본 e-Forensic툴을 이용하여 검증하였다. 이 툴을 활용하면, 현장 수사 중 디지털 파일을 증거로 수집하는 경우에 현장에서 바로 해시값을 생성, 암호화된 디지털 파일에 부가함으로써 디지털 파일의 원본과 사본의 동일성을 보장하고 현장 증거의 무결성을 향상시킬 수 있는 효과가 있음을 증명하였다.

Keywords

References

  1. Bae, Y. S., Koo, W. H., Shin, H. J., & Baek, M. H. (2014). "A Study on the Consciousness of Fare-fighting Officers for the Establishment and Pevitalization of Integrated Disaster Management System". Journal of The Korean Society of Disaster Information, 10(1), 151-158. https://doi.org/10.15683/kosd.2014.10.1.151
  2. Huang, Y. W., Hsieh, B. Y., Chien, S. Y., Ma, S. Y., & Chen, L. G. (2006). "Analysis and complexity reduction of multiple reference frames motion estimation in H. 264/AVC". IEEE Transactions on Circuits and Systems for Video Technology, 16(4), 507-522. https://doi.org/10.1109/TCSVT.2006.872783
  3. Kim S. Y., Kim S. W., Hwang I. C., (2016). "Digital Forensic Solution Development for Analyzing CCTV Non-Allocation Area in Company Security Management", The Journal of Internet Electronic Commerce Research, Vol.16, No.4, pp.185-202.
  4. Kwack B. S., (2011). "A Study on Problems and Improvements of Digital Forensic Investigation", Korea Law Accociation Vol.42 pp. 171-191.
  5. Lee C. W., (2013). "Road Tracking Based on Prior Information in Video Sequences", Journal of the Korea Industrial Information Systems Research Vol.18, No.2, pp. 19-25. https://doi.org/10.9723/jksiis.2013.18.2.019
  6. Lee J. H., Moon T. S., (2011). "IT Infulencing Factors on Organizational Performance of Digital Contents Company and Moderating Effect of Partnership", Journal of Internet Electronic Commerce Research Vol.11 No3 pp. 153-170.
  7. Shen, L., Liu, Z., Zhang, Z., & Wang, G. (2007). "An adaptive and fast multiframe selection algorithm for H. 264 video coding". IEEE signal processing letters, 14(11), 836-839. https://doi.org/10.1109/LSP.2007.898343
  8. Sullivan, G. (2001). "Recommended simulation common conditions for H. 26L coding efficiency experiments on low resolution progressive scan source material". ITU-T VCEG-N81, September 24-27, 2001, 24-27.
  9. Su, Y., & Sun, M. T. (2006). "Fast multiple reference frame motion estimation for H. 264/AVC". IEEE Transactions on Circuits and Systems for Video Technology, 16(3), 447-452. https://doi.org/10.1109/TCSVT.2006.869970
  10. Tak H. S., (2004). "A Study on Searching and Seizing Electronic Evidence", Korea Criminological Review Vol.57 pp. 21-62.
  11. Wang Z., Yang J., Peng Q., and Zhu C. (2007). "An Efficient Algorithm for Motion Estimation with Multiple," in Fourth International Conference on Image and Graphics.
  12. Wiegand, T. (2003). "Draft ITU-T recommendation and final draft international standard of joint video specification". ITU-T rec. H. 264
  13. ISO/IEC 14496-10 AVC.
  14. Woo C. I., (2014). "Tamper Detection of Digital Images using Hash Functions", Journal of the Korea Academia-Industrial cooperation Society Vol.15 No7 pp. 4516-4521. https://doi.org/10.5762/KAIS.2014.15.7.4516
  15. Wu, P., & Xiao, C. B. (2008, March). An adaptive fast multiple reference frames selection algorithm for H. 264/AVC". In Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on (pp. 1017-1020). IEEE.
  16. Yang G. W., (2006). "A Study on the Collection and Admissibility of Digital Evidence in th Crimial Procedure", Kyung Hee Univisity, Doctorate Thesis pp. 21-22.