图书简介

1. Optimizing Multi-class Classi?cation of Binaries Based on Static Features.-2.Detecting Abusive Comments Using Ensemble Deep Learning Algorithms.-3. Deep Learning Techniques for Behavioural Malware Analysis in Cloud IaaS.-4. Addressing Malware Attacks on Connected and Autonomous Vehicles: Recent Techniques and Challenges.-5. A Selective Survey of Deep Learning Techniques and Their Application to Malware Analysis.-6. A Comparison of Word2Vec, HMM2Vec, and PCA2Vec for Malware Classi?cation.-7. Word Embedding Techniques for Malware Evolution Detection.-8. Reanimating Historic Malware Samples.-9. DURLD: Malicious URL detection using Deep learning based Character-level representations.-10. Sentiment Analysis for Troll Detection on Weibo.-11. Beyond Labeling: Using Clustering to Build Network Behavioral Pro?les of Malware Families.-12. Review of the Malware Categorization in the Era of Changing Cybethreats Landscape: Common Approaches, Challenges and Future Needs.-13. An Empirical Analysis of Image-Based Learning Techniques for Malware Classi?cation.-14. A Survey of Intelligent Techniques for Android Malware Detection.-15. Malware Detection with Sequence-Based Machine Learning and Deep Learning.- 16. A Novel Study on Multinomial Classi?cation of x86/x64 Linux ELF Malware Types and Families through Deep Neural Networks.-17. Cluster Analysis of Malware Family Relationships.-18. Log-Based Malicious Activity Detection using Machine and Deep Learning.-19. Deep Learning in Malware Identi?cation and Classi?cation.-20. Image Spam Classi?cation with Deep Neural Networks.-21. Fast and Straightforward Feature Selection Method.-22. On Ensemble Learning.-23. A Comparative Study of Adversarial Attacks to Malware Detectors Based on Deep Learning.-24. Review of Arti?cial Intelligence Cyber Threat Assessment Techniques for Increased System Survivability.-25. Universal Adversarial Perturbations and Image Spam Classi?ers.

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