03989nam 22006495 450 991076029780332120240724100735.03-031-34969-59783031349690(ebook)10.1007/978-3-031-34969-0(MiAaPQ)EBC30876565(Au-PeEL)EBL30876565(DE-He213)978-3-031-34969-0(CKB)28804792700041(EXLCZ)992880479270004120231108d2024 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierCyber Malware Offensive and Defensive Systems /edited by Iman Almomani, Leandros A. Maglaras, Mohamed Amine Ferrag, Nick Ayres1st ed. 2024.Cham :Springer International Publishing :Imprint: Springer,2024.1 online resource (xxxvi, 280 pages) illustrationsSecurity Informatics and Law Enforcement,2523-8515Print version: Almomani, Iman Cyber Malware Cham : Springer International Publishing AG,c2023 9783031349683 Includes bibliographical references and index.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.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 using machine learning algorithms, Blockchain and AI technologies, smart AI-based applications, automated detection-based AI tools, forensics tools, and much more. The authors discuss theoretical, technical, and practical issues related to cyber malware attacks and defense, making it ideal reading material for students, researchers, and developers. Presents theoretical, technical, and practical knowledge on defending against malware attacks; Covers malware applications using machine learning algorithms, Blockchain and AI, forensics tools, and much more; Includes perspectives from experts in cybersecurity at different institutions, including academia, research centers, and companies.Security Informatics and Law Enforcement,2523-8515TelecommunicationComputer crimesData protectionSecurity systemsCommunications Engineering, NetworksCybercrimeData and Information SecuritySecurity Science and TechnologyTelecommunication.Computer crimes.Data protection.Security systems.Communications Engineering, Networks.Cybercrime.Data and Information Security.Security Science and Technology.929.605005.88Almomani ImanMiAaPQMiAaPQMiAaPQBOOK9910760297803321Cyber Malware3598668UNINA