Transforming Digital Forensics with Large Language Models: Unlocking Automation, Insights, and Justice

In the pursuit of justice and accountability in the digital age, the integration of Large Language Models (LLMs) with digital forensics holds immense promise. This half-day tutorial provides a comprehensive exploration of the transformative potential of LLMs in automating digital investigations and uncovering hidden insights. Through a combination of real-world case studies, interactive exercises, and hands-on labs, participants will gain a deep understanding of how to harness LLMs for evidence analysis, entity identification, and knowledge graph reconstruction. By fostering a collaborative learning environment, this tutorial aims to empower professionals, researchers, and students with the skills and knowledge needed to drive innovation in digital forensics. As LLMs continue to revolutionize the field, this tutorial will have far-reaching implications for enhancing justice outcomes, promoting accountability, and shaping the future of digital investigations.

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Publication Details

Published
2024-10-20
DOI
https://doi.org/10.1145/3627673.3679091
Citations
8
Primary Topic
Digital and Cyber Forensics
Type
article
Field-Weighted Citation Impact
6.23
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article

Transforming Digital Forensics with Large Language Models: Unlocking Automation, Insights, and Justice

Eric Xu, Wenbin Zhang, Weifeng Xu
8 citations
Digital and Cyber Forensics
6.23
article

Transforming Digital Forensics with Large Language Models: Unlocking Automation, Insights, and Justice

Eric Xu, Wenbin Zhang, Weifeng Xu
article en
8 citations

Abstract

In the pursuit of justice and accountability in the digital age, the integration of Large Language Models (LLMs) with digital forensics holds immense promise. This half-day tutorial provides a comprehensive exploration of the transformative potential of LLMs in automating digital investigations and uncovering hidden insights. Through a combination of real-world case studies, interactive exercises, and hands-on labs, participants will gain a deep understanding of how to harness LLMs for evidence analysis, entity identification, and knowledge graph reconstruction. By fostering a collaborative learning environment, this tutorial aims to empower professionals, researchers, and students with the skills and knowledge needed to drive innovation in digital forensics. As LLMs continue to revolutionize the field, this tutorial will have far-reaching implications for enhancing justice outcomes, promoting accountability, and shaping the future of digital investigations.

Florida International University (US), University of Baltimore (US), University of Maryland, College Park (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 3%
Digital and Cyber Forensics
6.23
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Transforming Digital Forensics with Large Language Models: Unlocking Automation, Insights, and Justice — Eric Xu, Wenbin Zhang, et al. · (2024) | TGRS Research Map | TGRS