GView: A Survey of Binary Forensics via Visual, Semantic, and AI-Enhanced Analysis
Cybersecurity threats continue to become more sophisticated and diverse in their artifacts, boosting both their volume and complexity.To overcome those challenges, we present GView, an opensource forensic analysis framework with visual and AI-enhanced reasoning.It started with focus on the practical cybersecurity industry.It has evolved significantly, incorporating large language models (LLMs) to dynamically enhance reasoning and ease the forensic workflows.This paper surveys both the current state of GView with its published papers and work that is currently under review.It also includes its innovative use of logical inference through predicates and inference rules for both the analyzed documents and the user's actions for better suggestions.We highlight the extensible architecture, showcasing its potential as a bridge between the practical forensics world with the academic research.
Authors
- Dragoş Teodor Gavriluţ (ORCID: https://orcid.org/0009-0004-3339-9625)
- Raul Zaharia (ORCID: https://orcid.org/0009-0005-6366-9152)
- Gheorghiţă Mutu (ORCID: https://orcid.org/0009-0007-6998-9469)
Institutions
- Alexandru Ioan Cuza University (RO)
Publication Details
- Journal
- Electronic Proceedings in Theoretical Computer Science
- Published
- 2025-09-15
- DOI
- https://doi.org/10.4204/eptcs.427.9
- Primary Topic
- Digital Media Forensic Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00