Rule Extraction and Interaction-Aware Explainability for AI-Driven Malware Detection
- 25 October 2025
- book chapter
- Published by Springer Nature
- p. 137-155
Abstract
No abstract availableKeywords
This publication has 26 references indexed in Scilit:
- A comprehensive investigation into robust malware detection with explainable AICyber Security and Applications, 2025
- Towards symbolic XAI — explanation through human understandable logical relationships between featuresInformation Fusion, 2025
- Machine learning-based cyber threat detection: an approach to malware detection and security with explainable AI insightsHuman-Intelligent Systems Integration, 2024
- Enhancing Malware Detection Through Machine Learning Using XAI with SHAP Framework2024
- Explainability in AI-based behavioral malware detection systemsComputers & Security, 2024
- Interpretable Rules with a Simplified Data Representation - a Case Study with the EMBER Dataset2024
- XRan: Explainable deep learning-based ransomware detection using dynamic analysisComputers & Security, 2024
- Generating sparse explanations for malicious Android opcode sequences using hierarchical LIMEComputers & Security, 2023
- Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AIInformation Fusion, 2020
- Measuring the Cost of Cybercrime2013