Zero-Trust Learning

A Comprehensive Guide
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 ever-increasing and evolving security challenges.

This new volume, Zero-Trust Learning: Applications in Modern Network Security, 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. It goes beyond theory, offering real-world examples and case studies that bridge the gap between learning and implementation. Additionally, it incorporates the latest advancements in cybersecurity education, making it an indispensable resource for both educators and practitioners.

Chapters cover the fundamentals, importance, and advantages of zero-trust security models; address the roles AI, blockchain, and machine learning play in zero trust learning and security; and look at the different kinds of ever more sophisticated security threats and how zero trust can mitigate risk.

This volume will be a valuable guide for those charged with and involved with network security, such as cybersecurity professionals and practitioners, information technology professionals, and faculty and students in these areas.

Zielgruppe

Academic and Postgraduate

Autoren/Hrsg.

Kaushal, Chetna

Kaur, Amandeep

Angurala, Mohit

Chaudhary, Aryan

Fachgebiete

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

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 Cyber Security 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 working as an Assistant Professor in Chitkara University, Punjab, India. Her areas of expertise are machine learning, soft computing, pattern recognition, image processing, and artificial intelligence. She has around 10 years of experience in research, training, and academics. She has published 35 research papers in various international and national journals as well as books, and conference papers. She has filed more than 50 patents, out of which 20 have been granted to her name. She is a reviewer for many prestigious journals. Dr. Kaushal is an exceptionally motivated and talented researcher and academician deeply dedicated to advancing human health and well-being through pioneering scientific investigations. Her remarkable achievements thus far are a testament to her capabilities, and her potential for making significant future contributions to her field is undeniably bright. She has a PhD in CSE from Chitkara University, Punjab, an MTech in CSE from DAV University, Punjab, and a BTech in IT from Punjab Technical University.

Amandeep Kaur, PhD, is currently working as a Professor at Chitkara University Institute of Engineering and Technology, Chitkara University Punjab, India. Dr. With more than 24 years of experience, she has about 100 publications in renowned international journals and fully refereed international conferences. She has filed and published more than 100 patents. Dr. Kaur has supervised more than 35 PhD and postgraduate students. Her main areas of research are medical informatics, machine learning, IoT, artificial intelligence, and cloud computing. Dr. Kaur has won the excellence awards in the category of "Filing Patent"" in the years 2021, 2022, and 2023 and a best PhD supervision award in the year 2023. She is among the most prominent names among Indian researchers and is included in Stanford University’s top 2% most influential scientists list. Dr. Kaur earned her doctorate degree from I. K. Gujral Punjab Technical University, Jalandhar, India. Her both MTech (CSE) and BTech (CSE) degrees were earned with distinction. She qualified for UGC-NET in Computer Science in the first attempt.

Mohit Angurala, PhD, is currently employed as an Assistant Professor at Guru Nanak Dev College, Pathankot, Punjab, India. Dr. Angurala has previously served as an Associate Professor at Chandigarh University, as a Senior Assistant Professor at VIT Chennai, and as an Assistant Professor and Head at Khalsa College of Engineering and Technology in Amritsar, Punjab, India. He is currently pursuing his postdoctoral research in the field of security in wireless sensor networks at Singapore Institute of Technology, Singapore. He completed his PhD in Computer Science and Engineering at I. K. Gujral Punjab Technical University, Kapurthala, Punjab, in 2021. Dr. Angurala earned his Bachelor of Technology in Information Technology from Beant College of Engineering and Technology in Gurdaspur, Punjab in 2011 and a Master of Technology in Computer Science and Engineering from Punjab Institute of Technology, PTU Main Campus, Kapurthala, Punjab, in 2014. Dr. Angurala has also obtained an MBA degree from Guru Nanak Dev University, Amritsar, Punjab, India.

Aryan Chaudhary is the Chief Scientific Advisor at BioTech Sphere Research, India. Aryan continues to make groundbreaking contributions to the industry. Having served as the Research Head at Nijji HealthCare Pvt Ltd, he has demonstrated his expertise in leveraging revolutionary technologies such as artificial intelligence, deep learning, IoT, cognitive technology, and blockchain to revolutionize the healthcare landscape. His relentless pursuit of excellence and innovation has earned him recognition as a thought leader in the industry. His dedication to advancing healthcare is evident through his vast body of work. He has authored several influential academic papers on public health and digital health, published in prestigious international journals. His research primarily focuses on integrating IoT and sensor technology for efficient data collection through one-time and ambulatory monitoring. As a testament to his expertise and leadership, he is not only a keynote speaker at numerous international and national conferences but also serves as the series editor of a CRC book series and is the editor of several books on biomedical science. His commitment to the advancement of scientific knowledge extends further, as he acts as a guest editor for special issues in renowned journals. Recognized for his significant contributions, he has received prestigious accolades, including the "Most Inspiring Young Leader in Healthtech Space 2022" by Business Connect and the title of the best project leader at Global Education and Corporate Leadership. Moreover, he holds senior memberships in various international science associations, reflecting his influence and impact in the field. Adding to his accomplishments, Aryan Chaudhary is currently serving as a guest editor for a special issue in the highly-regarded journal, EAI Endorsed Transactions on AI and Robotics, and he has joined the editorial board of Biomedical Science and Clinical Research (BSCR). Additionally, he is a respected professional member of the Association for Computing Machinery (ACM).