1. Introduction
2. Mechanics of Malware Attacks
3. Nature of Malware Code
4. Overview & Malware Detection
5. Data for Malware Detection
6. Generating Malware Images for Deep Learning
7. Image Classification for Malware Detection
8. Feature Reduction for Efficient Malware Detection
9. Deep Transfer Learning Models for Malware Detection
10. Natural Language Processing for Malware Classification
11. Deep Learning for Cryptographic Ransomware
12. Explainable Artificial Intelligence (XAI)
13. Adversarial Attack on Deep Neural Networks
14. Conclusion