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.

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

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