Zero-Trust Learning

Applications in Modern Network Security'
1. Auflage 2025
ISBN: 978-1-77964-356-8
Verlag: Apple Academic Press

Buch, Englisch, 490 Seiten, Format (B × H): 156 mm x 234 mm

In this internet age of security challenges and threats from cybercrime, enhanced security measures are necessary. The zero trust model—the IT security model that requires strict identity verification for every person and device trying to access resources on a private network—helps to meet these everincreasing and evolving security challenges. This new volume offers a comprehensive overview of the zero trust security model and its application in the field of cybersecurity, covering the principles, technologies, and best practices for implementing a zero trust approach, equipping readers with the knowledge and tools to secure their digital environments effectively. This book stands out by providing a holistic view of the zero trust security model, combining practical guidance for professionals with educational insights for both professionals and students and offering real-world examples and case studies that bridge the gap between learning and implementation.

Zielgruppe

Academic and Postgraduate

Autoren/Hrsg.

Kaushal, Chetna

Kaur, Amandeep

Angurala, Mohit

Chaudhary, Aryan

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Bauelemente, Schaltkreise
• Technische Wissenschaften Technik Allgemein Technische Zuverlässigkeit, Sicherheitstechnik

Inhaltsverzeichnis

1. Zero-Trust Fundamentals 2. Importance of Zero Trust and Transformation of Modern Network Security 3. Advantages of Zero-Trust Security 4. A Comprehensive Study on Zero-Trust Frameworks 5. The AI-Zero Trust Alliance Reinventing Cybersecurity for the Digital Age 6. The Role of Artificial Intelligence in Zero-Trust Learning 7. Enhancing Educational Security with AI and Zero-Trust Principles 8. Enhancing Malicious Software Classification with RGB Visualization and Zero-Trust Security 9. Enhancing Network Security with Zero-Trust Principles and Anonymous Identity Authentication 10. Evolutionary Approach for CyberSecurity Situational Assessment in Zero-Trust Networks 11. Leveraging AI and Zero Trust Principles for Improved Security 12. Machine Learning-Based Zero-Trust Framework for Advanced Network Security 13. Mitigating the Risk of Lateral Movement Within a Network 14. Possess Thorough Knowledge of Zero-Trust Principles 15. Why Perimeter Security Is No Longer Enough: Observations and Open Challenges 16. Cloud-Enhanced Fault-Tolerant Key Selection for Zero-Trust Network Security in Side-Channel Attacks 17. Zero-Trust Evolution and Cloud Computing Security as Multi-Mission Engineering: Addressing Emerging Threats, Regulations, and Modeling Solutions via Enhancing Blockchain Consensus Algorithm Mitigating Data Repository Breaches 18. Zero-Trust Approach for Secure Healthcare Systems 19. Zero-Trust Blockchain Privacy Solution with Homomorphic Encryption 20. AI-Powered Security in Zero-Trust Learning: Enhancing Safety and Adaptability 21. The Future of AI in Zero-Trust Learning

Über Autor(innen)

Chetna Kaushal, PhD, is an Assistant Professor at Chitkara University, India, with 12 years of experience in research, training, and academics. She has published many research papers in international and national journals, books, and conferences, and has filed and published over 50 patents. Recognized for her contributions, she received the Patent Award in Computer Science and Engineering (2023) and the Outstanding Innovator in Education Award at the National Symposium on Innovations in Teaching and Learning Practices in Higher Education.

Amandeep Kaur, PhD, is a Professor at Chitkara University Institute of Engineering and Technology, India. With over 24 years of experience, she has about 100 publications in journals and conferences and has filed and published more than 100 patents. Dr. Kaur has won excellence awards in the category of “Filing Patent” in 2021, 2022, and 2023 and a best PhD supervision award in 2023. She is among the most prominent names among Indian researchers and is included in Stanford University’s top 2% of the world’s most influential scientists list.

Mohit Angurala, PhD, is an Assistant Professor of Computer Science at Guru Nanak Dev University College, Pathankot (a constituent college of Guru Nanak Dev University), India. Previously, he was affiliated with Chandigarh University, Vellore Institute of Technology, Khalsa College of Engineering and Technology, and Chitkara University, all in India. Dr. Angurala has published journal papers, book chapters, and books, and holds several patents. He is also an editorial board member for several journals.

Aryan Chaudhary is the Chief Scientific Advisor at BioTech Sphere Research, India. He is a keynote speaker at international and national conferences, guest editor for several journals, and is the series Editor of a CRC book series and is the editor of several books on biomedical science. He has received accolades, including the “Most Inspiring Young Leader in Healthtech Space 2022” by Business Connect and the best project leader at Global Education and Corporate Leadership.