Security And Privacy In Cloud Based Ai
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Security And Privacy In Cloud Based Ai
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Author : Samarth Shah Dr. Vikhyat Singhal
language : en
Publisher: DeepMisti Publication
Release Date : 2025-01-01
Security And Privacy In Cloud Based Ai written by Samarth Shah Dr. Vikhyat Singhal and has been published by DeepMisti Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-01 with Computers categories.
In an era where cloud computing and artificial intelligence (AI) are driving digital transformation across industries, security and privacy have become critical concerns for businesses, governments, and consumers alike. The convergence of AI with cloud-based infrastructures brings about unprecedented opportunities, yet it also introduces a unique set of challenges. As organizations continue to rely on cloud-based AI systems for their operations, the importance of securing sensitive data and safeguarding privacy has never been more paramount. Security and Privacy in Cloud-Based AI explores the complex intersection of cloud computing, artificial intelligence, and cybersecurity, providing a comprehensive framework for understanding the evolving risks and mitigation strategies in this space. The book is designed for professionals, researchers, and policymakers seeking to navigate the intricacies of AI technologies deployed in cloud environments, while ensuring that security and privacy concerns are addressed from the ground up. This book begins by laying a foundation of essential concepts, including the architecture of cloud-based AI systems, the nature of security threats in these environments, and the fundamental principles of data privacy. From there, it delves into the most pressing security and privacy issues—ranging from data breaches and AI model vulnerabilities to regulatory compliance and ethical considerations. It also highlights emerging solutions such as advanced encryption techniques, federated learning, and privacy-preserving AI models, which are reshaping the landscape of secure cloud-based AI deployments. In each chapter, we explore real-world case studies and practical applications, providing insights into how organizations can adopt best practices to safeguard their AI models and data while maintaining trust and transparency with end-users. Additionally, this book examines the regulatory frameworks and policies that govern AI security and privacy, offering a roadmap for navigating complex legal landscapes. As cloud-based AI continues to evolve, so too must our understanding of how to protect the valuable data and technologies driving this revolution. This book aims to equip readers with the knowledge and tools necessary to build secure, privacy-conscious AI systems in the cloud, and to proactively address the challenges that lie ahead. I hope that Security and Privacy in Cloud-Based AI serves as an invaluable resource for those looking to stay ahead of the curve in the rapidly advancing world of AI and cloud security. Authors
Cloud Security And Privacy
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Author : Tim Mather
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2009-09-04
Cloud Security And Privacy written by Tim Mather and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-04 with Computers categories.
You may regard cloud computing as an ideal way for your company to control IT costs, but do you know how private and secure this service really is? Not many people do. With Cloud Security and Privacy, you'll learn what's at stake when you trust your data to the cloud, and what you can do to keep your virtual infrastructure and web applications secure. Ideal for IT staffers, information security and privacy practitioners, business managers, service providers, and investors alike, this book offers you sound advice from three well-known authorities in the tech security world. You'll learn detailed information on cloud computing security that-until now-has been sorely lacking. Review the current state of data security and storage in the cloud, including confidentiality, integrity, and availability Learn about the identity and access management (IAM) practice for authentication, authorization, and auditing of the users accessing cloud services Discover which security management frameworks and standards are relevant for the cloud Understand the privacy aspects you need to consider in the cloud, including how they compare with traditional computing models Learn the importance of audit and compliance functions within the cloud, and the various standards and frameworks to consider Examine security delivered as a service-a different facet of cloud security
Artificial Intelligence For Cloud And Edge Computing
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Author : Sanjay Misra
language : en
Publisher: Springer
Release Date : 2023-01-15
Artificial Intelligence For Cloud And Edge Computing written by Sanjay Misra and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-15 with Computers categories.
This book discusses the future possibilities of AI with cloud computing and edge computing. The main goal of this book is to conduct analyses, implementation and discussion of many tools (of artificial intelligence, machine learning and deep learning and cloud computing, fog computing, and edge computing including concepts of cyber security) for understanding integration of these technologies. With this book, readers can quickly get an overview of these emerging topics and get many ideas of the future of AI with cloud, edge, and in many other areas. Topics include machine and deep learning techniques for Internet of Things based cloud systems; security, privacy and trust issues in AI based cloud and IoT based cloud systems; AI for smart data storage in cloud-based IoT; blockchain based solutions for AI based cloud and IoT based cloud systems.This book is relevent to researchers, academics, students, and professionals.
Security Privacy And Forensics Issues In Big Data
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Author : Joshi, Ramesh C.
language : en
Publisher: IGI Global
Release Date : 2019-08-30
Security Privacy And Forensics Issues In Big Data written by Joshi, Ramesh C. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-30 with Computers categories.
With the proliferation of devices connected to the internet and connected to each other, the volume of data collected, stored, and processed is increasing every day, which brings new challenges in terms of information security. As big data expands with the help of public clouds, traditional security solutions tailored to private computing infrastructures and confined to a well-defined security perimeter, such as firewalls and demilitarized zones (DMZs), are no longer effective. New security functions are required to work over the heterogenous composition of diverse hardware, operating systems, and network domains. Security, Privacy, and Forensics Issues in Big Data is an essential research book that examines recent advancements in big data and the impact that these advancements have on information security and privacy measures needed for these networks. Highlighting a range of topics including cryptography, data analytics, and threat detection, this is an excellent reference source for students, software developers and engineers, security analysts, IT consultants, academicians, researchers, and professionals.
Security And Privacy In Cyber Physical Systems
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Author : Houbing Song
language : en
Publisher: John Wiley & Sons
Release Date : 2017-11-13
Security And Privacy In Cyber Physical Systems written by Houbing Song and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-13 with Computers categories.
Written by a team of experts at the forefront of the cyber-physical systems (CPS) revolution, this book provides an in-depth look at security and privacy, two of the most critical challenges facing both the CPS research and development community and ICT professionals. It explores, in depth, the key technical, social, and legal issues at stake, and it provides readers with the information they need to advance research and development in this exciting area. Cyber-physical systems (CPS) are engineered systems that are built from, and depend upon the seamless integration of computational algorithms and physical components. Advances in CPS will enable capability, adaptability, scalability, resiliency, safety, security, and usability far in excess of what today’s simple embedded systems can provide. Just as the Internet revolutionized the way we interact with information, CPS technology has already begun to transform the way people interact with engineered systems. In the years ahead, smart CPS will drive innovation and competition across industry sectors, from agriculture, energy, and transportation, to architecture, healthcare, and manufacturing. A priceless source of practical information and inspiration, Security and Privacy in Cyber-Physical Systems: Foundations, Principles and Applications is certain to have a profound impact on ongoing R&D and education at the confluence of security, privacy, and CPS.
Big Data Security
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Author : Shibakali Gupta
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2019-10-08
Big Data Security written by Shibakali Gupta and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-08 with Computers categories.
After a short description of the key concepts of big data the book explores on the secrecy and security threats posed especially by cloud based data storage. It delivers conceptual frameworks and models along with case studies of recent technology.
Privacy Preserving Ai Models In Cloud Based Cybersecurity
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Author : Amit Goswami
language : en
Publisher: SGSH Publications
Release Date : 2025-02-27
Privacy Preserving Ai Models In Cloud Based Cybersecurity written by Amit Goswami and has been published by SGSH Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-27 with Antiques & Collectibles categories.
The book Privacy-Preserving AI Models in Cloud-Based Cybersecurity explores the intersection of artificial intelligence (AI), cybersecurity, and privacy protection in cloud computing. It highlights how AI can enhance cybersecurity by identifying and mitigating threats in real-time while addressing the privacy concerns that arise from data processing in cloud environments. The book is structured into multiple chapters, covering key topics such as homomorphic encryption, differential privacy, federated learning, and their applications in AI-driven cybersecurity frameworks. It begins by discussing the challenges of integrating AI into cybersecurity, particularly the risks associated with cloud storage, data breaches, and regulatory compliance (e.g., GDPR and HIPAA). It then explores various privacy-preserving techniques, including encryption and decentralized learning models, that enable AI systems to function without directly accessing sensitive data. Homomorphic encryption is highlighted as a transformative cryptographic method that allows computations on encrypted data, making it highly relevant for secure cloud-based AI applications. Similarly, differential privacy is discussed as a method to introduce noise into datasets, ensuring anonymity while maintaining data utility. Federated learning is presented as a decentralized AI training approach that enables multiple entities to collaborate without sharing raw data, enhancing security in sectors like healthcare and finance. The book also examines real-world applications, such as AI-driven fraud detection, automated cybersecurity incident response, and privacy-preserving AI for medical data analysis. It concludes with a discussion on future trends, emphasizing the need for scalable encryption solutions, improved AI model robustness against adversarial attacks, and evolving regulatory frameworks. Overall, Privacy-Preserving AI Models in Cloud-Based Cybersecurity provides a comprehensive guide for researchers, cybersecurity professionals, and policymakers seeking to balance AI innovation with data privacy in an increasingly cloud-driven world.
An Introduction To Ethics In Robotics And Ai
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Author : Christoph Bartneck
language : en
Publisher: Springer Nature
Release Date : 2020-08-11
An Introduction To Ethics In Robotics And Ai written by Christoph Bartneck and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-11 with Philosophy categories.
This open access book introduces the reader to the foundations of AI and ethics. It discusses issues of trust, responsibility, liability, privacy and risk. It focuses on the interaction between people and the AI systems and Robotics they use. Designed to be accessible for a broad audience, reading this book does not require prerequisite technical, legal or philosophical expertise. Throughout, the authors use examples to illustrate the issues at hand and conclude the book with a discussion on the application areas of AI and Robotics, in particular autonomous vehicles, automatic weapon systems and biased algorithms. A list of questions and further readings is also included for students willing to explore the topic further.
Analyzing And Mitigating Security Risks In Cloud Computing
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Author : Goel, Pawan Kumar
language : en
Publisher: IGI Global
Release Date : 2024-02-27
Analyzing And Mitigating Security Risks In Cloud Computing written by Goel, Pawan Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-27 with Computers categories.
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.
Introduction To Machine Learning In The Cloud With Python
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Author : Pramod Gupta
language : en
Publisher: Springer Nature
Release Date : 2021-04-28
Introduction To Machine Learning In The Cloud With Python written by Pramod Gupta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-28 with Technology & Engineering categories.
This book provides an introduction to machine learning and cloud computing, both from a conceptual level, along with their usage with underlying infrastructure. The authors emphasize fundamentals and best practices for using AI and ML in a dynamic infrastructure with cloud computing and high security, preparing readers to select and make use of appropriate techniques. Important topics are demonstrated using real applications and case studies.