Cyber Forensics Explainable AI: Transparent Neural Networks Improve Evidence Reliability
Keywords:
Explainable AI, Cyber Forensics, Neural NetworksAbstract
AI has transformed cyber forensics evidence analysis. AI in forensic investigations is difficult since neural networks are "black-box" and hard to understand. Cyberforensics' explainable AI suggests transparent and interpretable neural networks may increase digital evidence dependability. This article addresses saliency maps, attention processes, and feature significance analysis to emphasize neural networks and the requirement for AI models to validate predictions. XAI enhances forensic investigative decision-making, legal AI validation, and automated system trust, according to case studies. XAI-cyber forensics integration is needed for court-accountable AI-driven evidence
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