Cyber Malware : Offensive and Defensive Systems 9783031349690, 9783031349683
This book provides the foundational aspects of malware attack vectors and appropriate defense mechanisms against malware
132 104 16MB
English Pages 310 Year 2023
Table of contents :
Cover
Front Matter
1. A Deep-Vision-Based Multi-class Classification System of Android Malware Apps
2. Android Malware Detection Based on Network Analysis and Federated Learning
3. ASParseV3: Auto-Static Parser and Customizable Visualizer
4. Fast-Flux Service Networks: Architecture, Characteristics, and Detection Mechanisms
5. Efficient Graph-Based Malware Detection Using Minimized Kernel and SVM
6. Deep Learning for Windows Malware Analysis
7. Malware Analysis for IoT and Smart AI-Based Applications
8. A Multiclass Classification Approach for IoT Intrusion Detection Based on Feature Selection and Oversampling
9. Malware Mitigation in Cloud Computing Architecture
Back Matter
Cover
Front Matter
1. A Deep-Vision-Based Multi-class Classification System of Android Malware Apps
2. Android Malware Detection Based on Network Analysis and Federated Learning
3. ASParseV3: Auto-Static Parser and Customizable Visualizer
4. Fast-Flux Service Networks: Architecture, Characteristics, and Detection Mechanisms
5. Efficient Graph-Based Malware Detection Using Minimized Kernel and SVM
6. Deep Learning for Windows Malware Analysis
7. Malware Analysis for IoT and Smart AI-Based Applications
8. A Multiclass Classification Approach for IoT Intrusion Detection Based on Feature Selection and Oversampling
9. Malware Mitigation in Cloud Computing Architecture
Back Matter
- Author / Uploaded
- Iman Almomani
- Leandros A. Maglaras
- Mohamed Amine Ferrag
- Nick Ayres
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