CyBok: The Cyber Security Body of Knowledge

	Author(s):	Awais Rashid, Howard Chivers, George Danezis, Emil Lupu, Andrew Martin
	Collection:
	Publisher:	National Cyber Security Centre
	Year:	2019
	Langue:	English
	Pages:	854 pages
	Size:	19.34 MB
	Extension:	PDF

[tab] [content title="Summary"] **CyBOK: A Comprehensive Body of Knowledge for Cyber Security Education and Training** The **CyBOK (Cyber Security Body of Knowledge)** project aims to establish a foundational framework for the rapidly evolving field of cyber security, bringing it in line with more established scientific disciplines. By consolidating insights and expertise from internationally recognized leaders in the field, CyBOK serves as a comprehensive resource to guide education and professional training in cyber security. Funded by the **National Cyber Security Programme**, the project is spearheaded by **Professor Awais Rashid** from the University of Bristol, in collaboration with other distinguished cyber security experts including **Professor Andrew Martin**, **Professor Steve Schneider**, **Professor Emil Lupu**, and **Dr. Howard Chivers**. The goal of CyBOK is to distill the accumulated knowledge of leading practitioners and researchers, forming a structured and accessible body of work that will provide critical, evidence-based guidance for both academic curricula and industry training programs. This body of knowledge is designed to support the development of a highly skilled cyber security workforce capable of addressing the complex and evolving challenges of modern cyber threats. Key aspects of CyBOK include: - **Comprehensive Coverage**: The body of knowledge spans a wide array of topics crucial to cyber security, from foundational concepts to cutting-edge research areas. - **Expert Contributions**: Insights from global experts ensure that the knowledge is rooted in real-world applications and the latest research findings. - **Educational Support**: CyBOK will be a key resource for educational institutions, providing a clear framework for teaching and professional development in the field of cyber security. By compiling and distilling best practices, methodologies, and theoretical foundations, CyBOK seeks to set a global standard for cyber security knowledge, helping to advance both academic study and practical applications in the field. [/content] [content title="Content"] [/content] [content title="Author(s)"] [/content] [/tab]

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Machine learning for computer and cyber security: principles, algorithms, and practices

	Author(s):	Gupta, Brij, Sheng, Quan Z
	Collection:
	Publisher:	CRC Press
	Year:	2019
	Langue:	English
	Pages:	352 pages
	Size:	18.79
	Extension:	PDF

[tab] [content title="Summary"] **Abstract:** While **Computer Security** is a broad field encompassing various technologies, protocols, standards, and policies designed to protect computing systems—including hardware, software, and the information they contain—**Cyber Security** is a more specific and rapidly growing domain focused on safeguarding computer networks (both online and offline) from threats such as unauthorized access, botnets, phishing scams, and more. **Machine Learning**, a subfield of Computer Science, enables machines to learn and adapt based on observable and verifiable data. In the context of cyber security, machine learning can be leveraged to enhance the protection of computer systems and information by detecting anomalies and threats through data mining and other advanced techniques. This book serves as an essential resource for understanding how machine learning and data mining can be applied to improve computer and cyber security. It offers in-depth coverage of critical security issues in the realm of both computer and cyber security, alongside analyses of machine learning and data mining-based solutions. Furthermore, the book explores promising future research areas where these technologies can further contribute to combating cyber threats. The book is particularly valuable for IT professionals, researchers, faculty members, scientists, graduate students, research scholars, and software developers who are interested in researching and developing solutions to address cyber security challenges using machine learning-based approaches. It is an invaluable resource for readers from **Computer Science and Engineering** fields, as well as **Cyber Security** professionals, offering both foundational and cutting-edge insights. ### **Key Features:** - **Illustrative Examples & Case Studies:** The book includes numerous examples and illustrations that demonstrate key principles, algorithms, challenges, and applications of machine learning and data mining in the context of computer and cyber security. - **Security Aspects & Current Trends:** The book covers the most important security issues in the field and highlights the latest trends and developments in cyber defense. - **Future Research Directions:** Insights into emerging research areas where machine learning and data mining solutions can be applied to combat cyber threats more effectively. - **Practical Defense Strategies:** The book helps students and practitioners understand the motivations behind cyber attacks, and how machine learning can be employed to better defend against, detect, and mitigate these threats. This book is an extensive guide to both the theoretical and practical aspects of applying machine learning techniques to computer and cyber security. It prepares readers to confront real-world security challenges using cutting-edge technologies and offers a comprehensive framework for future research and development in the field. [/content] [content title="Content"] [/content] [content title="Author(s)"] [/content] [/tab]

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Data security in cloud computing

	Author(s):	Kumar, Vimal
	Collection:
	Publisher:	The Institution of Engineering and
	Year:	2017
	Langue:	English
	Pages:	318 pages
	Size:	15.25 MB
	Extension:	PDF

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Computer Programming and Cyber Security for Beginners - Python Machine Learning, SQL, Linux, Hacking with Kali Linux, Ethical Hacking

	Author(s):	Zach Codings
	Collection:
	Publisher:	Independently published
	Year:	2019
	Langue:	English
	Pages:	597 pages
	Size:	2.83 MB
	Extension:	PDF

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