DF-Graph: Structured and Explainable Analysis of Communication Data for Digital Forensics
Organized by: International Forensic Scientist Awards
Website: forensicscientist.org
16th Edition of Forensic Scientist Awards 28-29 November 2025 | Agra, India
In today’s digital age, communication data plays a crucial role in solving cybercrimes, supporting legal investigations, and uncovering hidden relationships. However, the challenge lies in transforming raw communication logs into meaningful, defensible, and visually interpretable evidence. DF-Graph addresses this challenge by offering a structured and explainable approach to analyzing communication data for digital forensics.
DF-Graph enables investigators to map interactions, identify suspicious patterns, and trace digital footprints with high clarity. By converting complex datasets into graph-based representations, forensic experts can easily detect anomalies, understand communication flows, and justify their findings with transparency. This explainable structure ensures that every analytical step is documented, traceable, and ready for legal scrutiny.
With the increasing reliance on digital evidence in law enforcement, cybersecurity, and corporate investigations, DF-Graph provides a powerful framework for evidence mapping and decision-making. It supports investigators in transforming data into insight and insight into action—ensuring that conclusions are both accurate and defensible.
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