Digital evidence identification/classification study using causal relationship structure information

JongJin Jung; JongBin Park; JiHyun Lee

doi:10.1117/12.3017785

2 May 2024 Digital evidence identification/classification study using causal relationship structure information

JongJin Jung, JongBin Park, JiHyun Lee

Proceedings Volume 13164, International Workshop on Advanced Imaging Technology (IWAIT) 2024; 1316407 (2024) https://doi.org/10.1117/12.3017785
Event: International Workshop on Advanced Imaging Technology (IWAIT) 2024, 2024, Langkawi, Malaysia

Abstract

In this paper, we propose causal information necessary to effectively identify key clues and causes in order to analyze the causal relationship of the crime by extracting words and vocabulary corresponding to the criminal context from evidence files obtained for digital evidence analysis. This information is configured to recognize and classify individual names, extracts and categorizes crime-related persons, interpersonal relationships, criminal methods, and crime-related information, which will be used for crime prevention analysis and investigation using causal analysis techniques for future crimes.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

JongJin Jung, JongBin Park, and JiHyun Lee "Digital evidence identification/classification study using causal relationship structure information", Proc. SPIE 13164, International Workshop on Advanced Imaging Technology (IWAIT) 2024, 1316407 (2 May 2024); https://doi.org/10.1117/12.3017785

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