Topics of interest
The workshop welcomes contributions on theoretical, applied, and interdisciplinary work, including but not limited to the following areas.
AI methods for forensic analysis
Machine learning, deep learning, foundation models, LLM-supported workflows, explainable AI, multimodal analysis, and automated reasoning in cyber forensics.
Evidence processing and triage
Digital evidence triage, artifact extraction, prioritization, clustering, anomaly detection, timeline reconstruction, and AI-assisted review of large data volumes.
Communication and content analysis
Automated analysis of text, images, audio, and video, including messaging, platform traces, social media, and cross-device evidence correlation.
Platform-specific forensics
Cloud forensics, mobile device forensics, IoT and smart environment forensics, network traces, and operating-system or filesystem artifacts.
Validation and operational use
Benchmarking, datasets, reproducibility, tool evaluation, case-based studies, chain-of-custody issues, and integration into investigative practice.
Governance and legal perspectives
Legal, ethical, organizational, and educational questions related to AI use in digital investigations and forensic decision support.