Ai And Ml Applications For Decision Making In Zero Trust Cyber Security

Author : Dr Zemelak Goraga
Publisher : Skylimit Publishing
ISBN 13 : 9785361564743
Total Pages : 0 pages
Book Rating : 4.45/5 ( download)

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Download or read book AI and ML Applications for Decision-Making in Zero Trust Cyber Security written by Dr Zemelak Goraga and published by Skylimit Publishing. This book was released on 2024-04-03 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the future of cybersecurity with "AI and ML Applications for Decision-Making on Zero Trust Cyber Security: Volume 1." This groundbreaking book delves deep into the realm of Zero Trust Cyber Security, exploring the transformative potential of Artificial Intelligence (AI) and Machine Learning (ML) in fortifying digital defenses. Through insightful analysis and real-world case studies, this volume unveils how AI and ML technologies revolutionize decision-making processes, empowering organizations to adopt a proactive approach to cybersecurity. From advanced anomaly detection to behavioral analysis and threat intelligence, discover how these cutting-edge applications enhance authentication, authorization, and data protection mechanisms. Whether you're a cybersecurity professional, IT strategist, or technology enthusiast, this book provides invaluable insights into harnessing the power of AI and ML to combat evolving cyber threats. Stay ahead of the curve and secure your digital assets with the indispensable knowledge found within these pages.

Author : Evan Gilman
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 149196216X
Total Pages : 240 pages
Book Rating : 4.69/5 ( download)

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Download or read book Zero Trust Networks written by Evan Gilman and published by "O'Reilly Media, Inc.". This book was released on 2017-06-19 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: The perimeter defenses guarding your network perhaps are not as secure as you think. Hosts behind the firewall have no defenses of their own, so when a host in the "trusted" zone is breached, access to your data center is not far behind. That’s an all-too-familiar scenario today. With this practical book, you’ll learn the principles behind zero trust architecture, along with details necessary to implement it. The Zero Trust Model treats all hosts as if they’re internet-facing, and considers the entire network to be compromised and hostile. By taking this approach, you’ll focus on building strong authentication, authorization, and encryption throughout, while providing compartmentalized access and better operational agility. Understand how perimeter-based defenses have evolved to become the broken model we use today Explore two case studies of zero trust in production networks on the client side (Google) and on the server side (PagerDuty) Get example configuration for open source tools that you can use to build a zero trust network Learn how to migrate from a perimeter-based network to a zero trust network in production

Author : Hamid Jahankhani
Publisher : Academic Press
ISBN 13 : 0128214597
Total Pages : 432 pages
Book Rating : 4.96/5 ( download)

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Download or read book Strategy, Leadership, and AI in the Cyber Ecosystem written by Hamid Jahankhani and published by Academic Press. This book was released on 2020-11-10 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Strategy, Leadership and AI in the Cyber Ecosystem investigates the restructuring of the way cybersecurity and business leaders engage with the emerging digital revolution towards the development of strategic management, with the aid of AI, and in the context of growing cyber-physical interactions (human/machine co-working relationships). The book explores all aspects of strategic leadership within a digital context. It investigates the interactions from both the firm/organization strategy perspective, including cross-functional actors/stakeholders who are operating within the organization and the various characteristics of operating in a cyber-secure ecosystem. As consumption and reliance by business on the use of vast amounts of data in operations increase, demand for more data governance to minimize the issues of bias, trust, privacy and security may be necessary. The role of management is changing dramatically, with the challenges of Industry 4.0 and the digital revolution. With this intelligence explosion, the influence of artificial intelligence technology and the key themes of machine learning, big data, and digital twin are evolving and creating the need for cyber-physical management professionals. Discusses the foundations of digital societies in information governance and decision-making Explores the role of digital business strategies to deal with big data management, governance and digital footprints Considers advances and challenges in ethical management with data privacy and transparency Investigates the cyber-physical project management professional [Digital Twin] and the role of Holographic technology in corporate decision-making

Author : Mark Stamp
Publisher : Springer Nature
ISBN 13 : 3030970876
Total Pages : 388 pages
Book Rating : 4.71/5 ( download)

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Download or read book Artificial Intelligence for Cybersecurity written by Mark Stamp and published by Springer Nature. This book was released on 2022-07-15 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores new and novel applications of machine learning, deep learning, and artificial intelligence that are related to major challenges in the field of cybersecurity. The provided research goes beyond simply applying AI techniques to datasets and instead delves into deeper issues that arise at the interface between deep learning and cybersecurity. This book also provides insight into the difficult "how" and "why" questions that arise in AI within the security domain. For example, this book includes chapters covering "explainable AI", "adversarial learning", "resilient AI", and a wide variety of related topics. It’s not limited to any specific cybersecurity subtopics and the chapters touch upon a wide range of cybersecurity domains, ranging from malware to biometrics and more. Researchers and advanced level students working and studying in the fields of cybersecurity (equivalently, information security) or artificial intelligence (including deep learning, machine learning, big data, and related fields) will want to purchase this book as a reference. Practitioners working within these fields will also be interested in purchasing this book.

Author : Yulei Wu
Publisher : John Wiley & Sons
ISBN 13 : 1119835879
Total Pages : 308 pages
Book Rating : 4.75/5 ( download)

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Download or read book AI and Machine Learning for Network and Security Management written by Yulei Wu and published by John Wiley & Sons. This book was released on 2022-11-08 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI AND MACHINE LEARNING FOR NETWORK AND SECURITY MANAGEMENT Extensive Resource for Understanding Key Tasks of Network and Security Management AI and Machine Learning for Network and Security Management covers a range of key topics of network automation for network and security management, including resource allocation and scheduling, network planning and routing, encrypted traffic classification, anomaly detection, and security operations. In addition, the authors introduce their large-scale intelligent network management and operation system and elaborate on how the aforementioned areas can be integrated into this system, plus how the network service can benefit. Sample ideas covered in this thought-provoking work include: How cognitive means, e.g., knowledge transfer, can help with network and security management How different advanced AI and machine learning techniques can be useful and helpful to facilitate network automation How the introduced techniques can be applied to many other related network and security management tasks Network engineers, content service providers, and cybersecurity service providers can use AI and Machine Learning for Network and Security Management to make better and more informed decisions in their areas of specialization. Students in a variety of related study programs will also derive value from the work by gaining a base understanding of historical foundational knowledge and seeing the key recent developments that have been made in the field.

Author : Iqbal H. Sarker
Publisher : Springer Nature
ISBN 13 : 3031544978
Total Pages : 207 pages
Book Rating : 4.72/5 ( download)

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Download or read book AI-Driven Cybersecurity andThreat Intelligence written by Iqbal H. Sarker and published by Springer Nature. This book was released on with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Omar Santos
Publisher : Addison-Wesley Professional
ISBN 13 : 0138268398
Total Pages : 536 pages
Book Rating : 4.98/5 ( download)

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Download or read book Beyond the Algorithm written by Omar Santos and published by Addison-Wesley Professional. This book was released on 2024-01-23 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: As artificial intelligence (AI) becomes more and more woven into our everyday lives—and underpins so much of the infrastructure we rely on—the ethical, security, and privacy implications require a critical approach that draws not simply on the programming and algorithmic foundations of the technology. Bringing together legal studies, philosophy, cybersecurity, and academic literature, Beyond the Algorithm examines these complex issues with a comprehensive, easy-to-understand analysis and overview. The book explores the ethical challenges that professionals—and, increasingly, users—are encountering as AI becomes not just a promise of the future, but a powerful tool of the present. An overview of the history and development of AI, from the earliest pioneers in machine learning to current applications and how it might shape the future Introduction to AI models and implementations, as well as examples of emerging AI trends Examination of vulnerabilities, including insight into potential real-world threats, and best practices for ensuring a safe AI deployment Discussion of how to balance accountability, privacy, and ethics with regulatory and legislative concerns with advancing AI technology A critical perspective on regulatory obligations, and repercussions, of AI with copyright protection, patent rights, and other intellectual property dilemmas An academic resource and guide for the evolving technical and intellectual challenges of AI Leading figures in the field bring to life the ethical issues associated with AI through in-depth analysis and case studies in this comprehensive examination.

Author : Sanjay Misra
Publisher : Springer Nature
ISBN 13 : 3030722368
Total Pages : 467 pages
Book Rating : 4.64/5 ( download)

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Download or read book Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities written by Sanjay Misra and published by Springer Nature. This book was released on 2021-05-31 with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides stepwise discussion, exhaustive literature review, detailed analysis and discussion, rigorous experimentation results (using several analytics tools), and an application-oriented approach that can be demonstrated with respect to data analytics using artificial intelligence to make systems stronger (i.e., impossible to breach). We can see many serious cyber breaches on Government databases or public profiles at online social networking in the recent decade. Today artificial intelligence or machine learning is redefining every aspect of cyber security. From improving organizations’ ability to anticipate and thwart breaches, protecting the proliferating number of threat surfaces with Zero Trust Security frameworks to making passwords obsolete, AI and machine learning are essential to securing the perimeters of any business. The book is useful for researchers, academics, industry players, data engineers, data scientists, governmental organizations, and non-governmental organizations.

Author : National Academies of Sciences, Engineering, and Medicine
Publisher : National Academies Press
ISBN 13 : 0309494508
Total Pages : 99 pages
Book Rating : 4.02/5 ( download)

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Download or read book Implications of Artificial Intelligence for Cybersecurity written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2020-01-27 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, interest and progress in the area of artificial intelligence (AI) and machine learning (ML) have boomed, with new applications vigorously pursued across many sectors. At the same time, the computing and communications technologies on which we have come to rely present serious security concerns: cyberattacks have escalated in number, frequency, and impact, drawing increased attention to the vulnerabilities of cyber systems and the need to increase their security. In the face of this changing landscape, there is significant concern and interest among policymakers, security practitioners, technologists, researchers, and the public about the potential implications of AI and ML for cybersecurity. The National Academies of Sciences, Engineering, and Medicine convened a workshop on March 12-13, 2019 to discuss and explore these concerns. This publication summarizes the presentations and discussions from the workshop.

Author : NIKE. ANDRAVOUS
Publisher :
ISBN 13 : 9789355512512
Total Pages : 262 pages
Book Rating : 4.11/5 ( download)

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Download or read book Zero Trust Security written by NIKE. ANDRAVOUS and published by . This book was released on 2022-04-12 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book delves into the complexities of business settings. It covers the practical guidelines and requirements your security team will need to design and execute a zero-trust journey while maximizing the value of your current enterprise security architecture. The goal of Zero Trust is to radically alter the underlying concept and approach to enterprise security, moving away from old and clearly unsuccessful perimeter-centric techniques and toward a dynamic, identity-centric, and policy-based approach. This book helps the readers to earn about IPS, IDS, and IDPS, along with their varieties and comparing them. It also covers Virtual Private Networks, types of VPNs.and also to understand how zero trust and VPN work together By the completion of the book, you will be able to build a credible and defensible Zero Trust security architecture for your business, as well as implement a step-by-step process that will result in considerably better security and streamlined operations. TABLE OF CONTENTS 1. Introduction to Enterprise Security 2. Get to Know Zero Trust 3. Architectures With Zero Trust 4. Zero Trust in Practice 5. Identity and Access Management (IAM) 6. Network Infrastructure 7. Network Access Control 8. Intrusion Detection and Prevention Systems 9. Virtual Private Networks 10. Next-Generation Firewalls 11. Security Operations 12. Privileged Access Management (PAM) 13. Data Protection 14. Infrastructure and Platform as a Service 15.Software as a Service (SaaS) 16. IoT Devices 17. A Policy of Zero Trust 18. Zero Trust Scenarios 19. Creating a Successful Zero Trust Environment