Machine Learning for Computer and Cyber Security: Principle, Algorithms, and Practices

Computer Security is a broader term that incorporates technologies, protocols, standards, and policies to ensure the security of computing systems. Cyber Security is a specific field that protects computer networks from unauthorized access, botnets, phishing scams, etc. Machine learning is a branch of Computer Science that enables computing machines to adopt new behaviors based on observable and verifiable data and information. This book emphasizes the importance of machine learning and data mining in establishing computer and cyber security. It highlights important security aspects associated with computer and cyber security and the analysis of machine learning and data mining-based solutions. It caters to the needs of IT professionals, researchers, faculty members, scientists, graduate students, research scholars, and software developers who seek to carry out research and develop combating solutions in the area of cyber security using machine learning-based approaches.

Format: Paperback / softback
Length: 352 pages
Publication date: 31 March 2021
Publisher: Taylor & Francis Ltd

While Computer Security encompasses a wide range of technologies, protocols, standards, and policies aimed at safeguarding computing systems, including their hardware, software, and stored information, Cyber Security is a specialized field dedicated to protecting computer networks, both offline and online, from unauthorized access, botnets, phishing scams, and other cyber threats. Machine learning is a subfield of Computer Science that empowers computing machines to learn and adapt based on observable and verifiable data and information. It offers valuable tools for enhancing computer and cyber security by detecting anomalies through data mining and other techniques.

This comprehensive book serves as a valuable resource for understanding the significance of machine learning and data mining in establishing robust computer and cyber security. It delves into critical security aspects related to computer and cyber security, while also analyzing machine learning and data mining-based solutions. The book highlights future research domains where these solutions can be applied, catering to the needs of IT professionals, researchers, faculty members, scientists, graduate students, research scholars, and software developers who aim to develop effective countermeasures in the field of cyber security through machine learning-based approaches.

As an extensive source of information, this book is particularly valuable for readers belonging to the fields of Computer Science and Engineering, as well as Cyber Security professionals. It provides examples and illustrations to demonstrate the principles, algorithms, challenges, and applications of machine learning and data mining in computer and cyber security. By presenting real-world scenarios and practical applications, the book offers a practical understanding of these technologies and their role in securing digital systems against evolving threats.

In conclusion, this book is a must-read for anyone interested in advancing their knowledge and expertise in computer and cyber security. It provides a comprehensive and up-to-date overview of machine learning and data mining, highlighting their importance in protecting against modern cyber threats. With its practical insights and comprehensive coverage, it equips readers with the tools and knowledge necessary to develop innovative solutions and contribute to the field of cyber security.

Weight: 680g
Dimension: 234 x 156 (mm)
ISBN-13: 9780367780272