Bridging knowledge gaps in digital forensics using unsupervised explainable AI

Computer Science

• Explainable Artificial Intelligence 100%
• Digital Forensics 100%
• Unsupervised Learning 40%
• SHapley Additive exPlanation 40%
• Unlabeled Data 20%
• Malware 20%
• Anomaly Detection 20%
• Dimensionality Reduction 20%
• Supervised Learning 20%
• Detection Result 20%
• Detect Anomaly 20%
• Memory Forensics 20%
• Clustering Result 20%
• Autoencoder 20%
• Gaussian Mixture Model 20%
• Confusion Matrix 20%
• Artificial Intelligence 20%
• Isolation Forest 20%
• Expert Evidence 20%
• Adjusted Rand Index 20%