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Taylor Royce

Machine Learning for Malware Detection: Strategies, Models, and Applications Paperback – Large Print, April 29 2025

by Taylor Royce (Author)

Book 77 of 88: Books on Tech

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Machine Learning for Malware Detection: Strategies, Models, and Applications

Reactive defenses are no longer adequate as the cybersecurity environment gets more complicated and adversaries become more skilled. A state-of-the-art, professionally grounded investigation of how artificial intelligence, in particular machine learning, can be used to proactively identify, categorize, and react to malware threats in real-time is provided by Machine Learning for Malware Detection: Strategies, Models, and Applications.

Data scientists, threat analysts, cybersecurity professionals, and technology executives who understand the critical need for intelligent, scalable defenses in today's digital infrastructure are the target audience for this book. It provides a thorough and useful road map for incorporating machine learning into contemporary malware detection processes while being mindful of the operational, moral, and legal issues that come with AI-powered systems.

This book explores the entire lifecycle of intelligent malware detection, from data gathering and feature engineering to model evaluation, adversarial resilience, and ethical deployment, rather than concentrating only on algorithms or superficial trends. Every chapter is thoughtfully organized to provide practical insights derived from current research, real-world problems, and tried-and-true tactics.

The following topics will be thoroughly understood by readers:

The advantages and disadvantages of machine learning models in dynamic threat situations
Methods for adversarial hardening and identifying malware that evades artificial intelligence; strategies for reducing false positives and preserving model reliability over time
Strategic considerations for creating resilient, future-ready cyber defense ecosystems; the use of machine learning into larger threat intelligence and incident response frameworks

This book stands out for its dedication to professionalism, depth, and clarity. In addition to being technically solid, the content is contextualized within the larger goals of safeguarding user privacy, defending digital assets, and facilitating the appropriate use of AI in security operations.

In a time when machine learning may be used as a weapon and a shield, Machine Learning for Malware Detection: Strategies, Models, and Applications is more than just a technical handbook; it is a strategic manual for creating intelligent, robust, and moral cybersecurity systems.

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ISBN-13

979-8281853163
Publication date

April 29 2025
Book 77 of 88

Books on Tech
Language

English
Dimensions

15.24 x 0.84 x 22.86 cm
Print length

143 pages

See all details

Product details

ASIN ‏ : ‎ B0F6XVV1J9
Publisher ‏ : ‎ Independently published
Publication date ‏ : ‎ April 29 2025
Language ‏ : ‎ English
Print length ‏ : ‎ 143 pages
ISBN-13 ‏ : ‎ 979-8281853163
Item weight ‏ : ‎ 200 g
Dimensions ‏ : ‎ 15.24 x 0.84 x 22.86 cm
Book 77 of 88 ‏ : ‎ Books on Tech

About the author

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Taylor Royce

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Author and thought leader in the IT field Taylor Royce is well known. He has a two-decade career and is an expert at tech trend analysis and forecasting, which enables a wide audience to understand complicated concepts. He works in the areas of cybersecurity, blockchain, AI, and the Internet of Things (IoT).

Royce's considerable involvement in the IT industry stemmed from his passion with technology, which he developed during his computer science studies. He has extensive knowledge of the industry because to his experience in both software development and strategic consulting.

Known for his research and lucidity, he has written multiple best-selling books and contributed to esteemed tech periodicals. Translations of Royce's books throughout the world demonstrate his impact.

Royce is a well-known authority on emerging technologies and their effects on society, frequently requested as a speaker at international conferences and as a guest on tech podcasts. He promotes the development of ethical technology, emphasizing problems like data privacy and the digital divide.

In addition, with a focus on sustainable industry growth, Royce mentors upcoming tech experts and supports IT education projects. Taylor Royce is well known for his ability to combine analytical thinking with technical know-how. He sees a time when technology will ethically benefit humanity.

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