Cyber Malware Offensive and Defensive Systems /

This book provides the foundational aspects of malware attack vectors and appropriate defense mechanisms against malware. The book equips readers with the necessary knowledge and techniques to successfully lower the risk against emergent malware attacks. Topics cover protections against malware usin...

詳細記述

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書誌詳細
団体著者:	SpringerLink (Online service)
その他の著者:	Almomani, Iman (編集者), Maglaras, Leandros A. (編集者), Ferrag, Mohamed Amine (編集者), Ayres, Nick (編集者)
フォーマット:	電子媒体 eBook
言語:	英語
出版事項:	Cham : Springer International Publishing : Imprint: Springer, 2024.
版:	1st ed. 2024.
シリーズ:	Security Informatics and Law Enforcement,
主題:	Telecommunication. Computer crimes. Data protection. Security systems. Communications Engineering, Networks. Cybercrime. Data and Information Security. Security Science and Technology.
オンライン･アクセス:	https://doi.org/10.1007/978-3-031-34969-0
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

目次:

Part 1. Android Malware Analysis
Chapter 1. A Deep Vision-based Multi-Class Classification System of Android Malware Apps
Chapter 2. Android Malware detection based on network analysis and federated learning
Chapter 3. ASParseV3: Auto Static Parser & Customizable Visualizer
Part 2. Network Malware Analysis
Chapter 4. Fast Flux Service Networks: Architecture, Characteristics and Detection Mechanisms
Chapter 5. Efficient Graph-based Malware Detection using Minimized Kernel and SVM
Chapter. 6 Deep Learning for Windows Malware Analysis
Part 3. IoT Malware Analysis
Chapter 7. Malware analysis for IoT and Smart AI-based Applications
Chapter 8. A Multi-Class Classification Approach for IoT Intrusion Detection Based on Feature Selection and Oversampling
Chapter 9. Malware Mitigation in Cloud Computing Architecture.

Cyber Malware Offensive and Defensive Systems /

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