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Security and Risk Analysis for Intelligent Cloud Computing

Security and Risk Analysis for Intelligent Cloud Computing
Author: Ajay Kumar
Publisher: CRC Press
Total Pages: 368
Release: 2023-12-19
Genre: Computers
ISBN: 1003803695

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This edited book is a compilation of scholarly articles on the latest developments in the field of AI, Blockchain, and ML/DL in cloud security. This book is designed for security and risk assessment professionals, and to help undergraduate, postgraduate students, research scholars, academicians, and technology professionals who are interested in learning practical approaches to cloud security. It covers practical strategies for assessing the security and privacy of cloud infrastructure and applications and shows how to make cloud infrastructure secure to combat threats and attacks, and prevent data breaches. The chapters are designed with a granular framework, starting with the security concepts, followed by hands-on assessment techniques based on real-world studies. Readers will gain detailed information on cloud computing security that—until now—has been difficult to access. This book: • Covers topics such as AI, Blockchain, and ML/DL in cloud security. • Presents several case studies revealing how threat actors abuse and exploit cloud environments to spread threats. • Explains the privacy aspects you need to consider in the cloud, including how they compare with aspects considered in traditional computing models. • Examines security delivered as a service—a different facet of cloud security.


Security and Risk Analysis for Intelligent Cloud Computing

Security and Risk Analysis for Intelligent Cloud Computing
Author: Ajay
Publisher:
Total Pages: 0
Release: 2023
Genre: Artificial intelligence
ISBN: 9781032360362

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"This edited book is a compilation of scholarly articles on the latest developments in the field of AI, Blockchain, ML/DL in cloud security. This book is designed for security and risk assessment professionals to help the students of undergraduate, postgraduate and research scholars, academicians, and technology professionals. Who are interested in learning practical approaches to cloud security. It covers practical strategies or assessing the security and privacy of cloud infrastructure and applications and shows how to make cloud infrastructure secure to combat threats, attacks, and prevent data breaches. The chapters are designed with a granular framework, starting with the security concepts, followed by hand-on assessment techniques based on real-world studies. Users will learn detailed information on cloud computing security that-until now-has been sorely lacking. The book has following features: Includes practical strategies for assessing the security and privacy of cloud infrastructure and applications Covers topics such as AI, Blockchain, ML/DL in cloud security. Presents several case studies revealing how threat actors abuse and exploit cloud environments to spread threats Understand the privacy aspects you need to consider in the cloud, including how they compare with traditional computing models Examine security delivered as a service-a different facet of cloud security"--


Security and Risk Analysis for Intelligent Edge Computing

Security and Risk Analysis for Intelligent Edge Computing
Author: Gautam Srivastava
Publisher: Springer Nature
Total Pages: 246
Release: 2023-06-24
Genre: Computers
ISBN: 3031281500

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This book offers the latest research results in security and privacy for Intelligent Edge Computing Systems. It presents state-of-the art content and provides an in-depth overview of the basic background in this related field. Practical areas in both security and risk analysis are addressed as well as connections directly linked to Edge Computing paradigms. This book also offers an excellent foundation on the fundamental concepts and principles of security, privacy and risk analysis in Edge Computation infrastructures. It guides the reader through the core ideas with relevant ease. Edge Computing has burst onto the computational scene offering key technologies for allowing more flexibility at the edge of networks. As Edge Computing has evolved as well as the need for more in-depth solutions in security, privacy and risk analysis at the edge. This book includes various case studies and applications on Edge Computing. It includes the Internet of Things related areas, such as smart cities, blockchain, mobile networks, federated learning, cryptography and cybersecurity. This book is one of the first reference books covering security and risk analysis in Edge Computing Systems. Researchers and advanced-level students studying or working in Edge Computing and related security fields will find this book useful as a reference. Decision makers, managers and professionals working within these fields will want to purchase this book as well.


Security and Risk Analysis for Intelligent Cloud Computing

Security and Risk Analysis for Intelligent Cloud Computing
Author: Ajay Kumar
Publisher: CRC Press
Total Pages: 371
Release: 2023-12-19
Genre: Computers
ISBN: 100380361X

Download Security and Risk Analysis for Intelligent Cloud Computing Book in PDF, ePub and Kindle

This edited book is a compilation of scholarly articles on the latest developments in the field of AI, Blockchain, and ML/DL in cloud security. This book is designed for security and risk assessment professionals, and to help undergraduate, postgraduate students, research scholars, academicians, and technology professionals who are interested in learning practical approaches to cloud security. It covers practical strategies for assessing the security and privacy of cloud infrastructure and applications and shows how to make cloud infrastructure secure to combat threats and attacks, and prevent data breaches. The chapters are designed with a granular framework, starting with the security concepts, followed by hands-on assessment techniques based on real-world studies. Readers will gain detailed information on cloud computing security that—until now—has been difficult to access. This book: • Covers topics such as AI, Blockchain, and ML/DL in cloud security. • Presents several case studies revealing how threat actors abuse and exploit cloud environments to spread threats. • Explains the privacy aspects you need to consider in the cloud, including how they compare with aspects considered in traditional computing models. • Examines security delivered as a service—a different facet of cloud security.


Empirical Cloud Security

Empirical Cloud Security
Author: Aditya K. Sood
Publisher: Mercury Learning and Information
Total Pages: 479
Release: 2023-06-30
Genre: Computers
ISBN: 150151802X

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The second edition of the book has been updated with the latest research and developments in the field of cloud security. The content has been refined and streamlined to make it more accessible and engaging for readers. The book is designed for security and risk assessment professionals, DevOps engineers, penetration testers, cloud security engineers, and cloud software developers who are interested in learning practical approaches to cloud security. It covers practical strategies for assessing the security and privacy of your cloud infrastructure and applications and shows how to make your cloud infrastructure secure to combat threats, attacks, and prevent data breaches. The chapters are designed with a granular framework, starting with the security concepts, followed by hands-on assessment techniques based on real-world studies, and concluding with recommendations including best practices. FEATURES: Updated with the latest research and developments in the field of cloud security Includes practical strategies for assessing the security and privacy of your cloud infrastructure and applications Covers topics such as cloud architecture and security fundamentals, database and storage security, data privacy, security and risk assessments, controls related to continuous monitoring, and more Presents new case studies revealing how threat actors abuse and exploit cloud environments to spread malware and includes preventative measures


Machine Learning Techniques and Analytics for Cloud Security

Machine Learning Techniques and Analytics for Cloud Security
Author: Rajdeep Chakraborty
Publisher: John Wiley & Sons
Total Pages: 484
Release: 2021-12-21
Genre: Computers
ISBN: 1119762251

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MACHINE LEARNING TECHNIQUES AND ANALYTICS FOR CLOUD SECURITY This book covers new methods, surveys, case studies, and policy with almost all machine learning techniques and analytics for cloud security solutions The aim of Machine Learning Techniques and Analytics for Cloud Security is to integrate machine learning approaches to meet various analytical issues in cloud security. Cloud security with ML has long-standing challenges that require methodological and theoretical handling. The conventional cryptography approach is less applied in resource-constrained devices. To solve these issues, the machine learning approach may be effectively used in providing security to the vast growing cloud environment. Machine learning algorithms can also be used to meet various cloud security issues, such as effective intrusion detection systems, zero-knowledge authentication systems, measures for passive attacks, protocols design, privacy system designs, applications, and many more. The book also contains case studies/projects outlining how to implement various security features using machine learning algorithms and analytics on existing cloud-based products in public, private and hybrid cloud respectively. Audience Research scholars and industry engineers in computer sciences, electrical and electronics engineering, machine learning, computer security, information technology, and cryptography.


Future Information Technology

Future Information Technology
Author: James J. (Jong Hyuk) Park
Publisher: Springer Science & Business Media
Total Pages: 479
Release: 2013-08-23
Genre: Technology & Engineering
ISBN: 3642408613

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Future technology information technology stands for all of continuously evolving and converging information technologies, including digital convergence, multimedia convergence, intelligent applications, embedded systems, mobile and wireless communications, bio-inspired computing, grid and cloud computing, semantic web, user experience and HCI, security and trust computing and so on, for satisfying our ever-changing needs. In past twenty five years or so, Information Technology (IT) influenced and changed every aspect of our lives and our cultures. These proceedings foster the dissemination of state-of-the-art research in all future IT areas, including their models, services, and novel applications associated with their utilization.


Privacy and Security for Cloud Computing

Privacy and Security for Cloud Computing
Author: Siani Pearson
Publisher: Springer Science & Business Media
Total Pages: 313
Release: 2012-08-28
Genre: Computers
ISBN: 144714189X

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This book analyzes the latest advances in privacy, security and risk technologies within cloud environments. With contributions from leading experts, the text presents both a solid overview of the field and novel, cutting-edge research. A Glossary is also included at the end of the book. Topics and features: considers the various forensic challenges for legal access to data in a cloud computing environment; discusses privacy impact assessments for the cloud, and examines the use of cloud audits to attenuate cloud security problems; reviews conceptual issues, basic requirements and practical suggestions for provisioning dynamically configured access control services in the cloud; proposes scoped invariants as a primitive for analyzing a cloud server for its integrity properties; investigates the applicability of existing controls for mitigating information security risks to cloud computing environments; describes risk management for cloud computing from an enterprise perspective.


Analyzing and Mitigating Security Risks in Cloud Computing

Analyzing and Mitigating Security Risks in Cloud Computing
Author: Goel, Pawan Kumar
Publisher: IGI Global
Total Pages: 290
Release: 2024-02-27
Genre: Computers
ISBN:

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In the dynamic field of modern business, where cloud computing has become the primary focus of operations, a pressing issue arises – the persistent concerns of security, privacy, and trust in cloud environments. Organizations find themselves at a crossroads, caught between the immense benefits of cloud adoption and the escalating challenges of safeguarding sensitive data and maintaining user trust. The need for a comprehensive and practical guide to navigate these intricate landscapes has never been more critical. Analyzing and Mitigating Security Risks in Cloud Computing is a groundbreaking guidebook tailored to address the very challenges that organizations face in securing their cloud infrastructures. With a focus on real-world examples, case studies, and industry best practices, the book equips its readers with actionable insights and tools to fortify their cloud security posture. From understanding the fundamentals of cloud computing to addressing emerging trends and implementing robust security strategies, the book serves as a holistic solution to bridge the knowledge gap and empower professionals at every level.


Guide to Vulnerability Analysis for Computer Networks and Systems

Guide to Vulnerability Analysis for Computer Networks and Systems
Author: Simon Parkinson
Publisher: Springer
Total Pages: 384
Release: 2018-09-04
Genre: Computers
ISBN: 3319926241

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This professional guide and reference examines the challenges of assessing security vulnerabilities in computing infrastructure. Various aspects of vulnerability assessment are covered in detail, including recent advancements in reducing the requirement for expert knowledge through novel applications of artificial intelligence. The work also offers a series of case studies on how to develop and perform vulnerability assessment techniques using start-of-the-art intelligent mechanisms. Topics and features: provides tutorial activities and thought-provoking questions in each chapter, together with numerous case studies; introduces the fundamentals of vulnerability assessment, and reviews the state of the art of research in this area; discusses vulnerability assessment frameworks, including frameworks for industrial control and cloud systems; examines a range of applications that make use of artificial intelligence to enhance the vulnerability assessment processes; presents visualisation techniques that can be used to assist the vulnerability assessment process. In addition to serving the needs of security practitioners and researchers, this accessible volume is also ideal for students and instructors seeking a primer on artificial intelligence for vulnerability assessment, or a supplementary text for courses on computer security, networking, and artificial intelligence.