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
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.
Improving Security Privacy And Trust In Cloud Computing
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Author : Goel, Pawan Kumar
language : en
Publisher: IGI Global
Release Date : 2024-02-02
Improving Security Privacy And Trust 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 2024-02-02 with Computers categories.
Cloud computing adoption has revolutionized how businesses and individuals harness the power of technology. The cloud's scalability, accessibility, and cost-efficiency have propelled it to the forefront of modern computing paradigms. However, as organizations increasingly rely on cloud services to store, process, and manage their data and applications, an intricate web of challenges has emerged, casting shadows over the very foundations of cloud computing. Improving Security, Privacy, and Trust in Cloud Computing unravels the complexities surrounding the cloud landscape, delving into the core concerns of security, privacy, and trust that have come to define its evolution. It aims to equip readers with the insights, knowledge, and practical strategies needed to navigate the intricate realm of cloud computing while safeguarding their most valuable assets. This book's exploration into security, privacy, and trust in cloud computing takes a holistic approach. Throughout the chapters of this book, readers will embark on a multidimensional expedition. This book will take them through real-world case studies of successful cloud security implementations and unfortunate breaches that underscore the urgency of robust defenses. From data encryption techniques to incident response protocols, this book offers practical insights and actionable strategies that can be implemented by IT professionals, security experts, and decision-makers alike.
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.
Cloud Security
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Author : Sirisha Potluri
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2021-07-19
Cloud Security written by Sirisha Potluri 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 2021-07-19 with Computers categories.
This book presents research on the state-of-the-art methods and applications. Security and privacy related issues of cloud are addressed with best practices and approaches for secure cloud computing, such as cloud ontology, blockchain, recommender systems, optimization strategies, data security, intelligent algorithms, defense mechanisms for mitigating DDoS attacks, potential communication algorithms in cloud based IoT, secure cloud solutions.
Sustainable Information Security In The Age Of Ai And Green Computing
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Author : Gupta, Brij B.
language : en
Publisher: IGI Global
Release Date : 2025-05-13
Sustainable Information Security In The Age Of Ai And Green Computing written by Gupta, Brij B. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-13 with Computers categories.
The convergence of artificial intelligence (AI), green computing, and information security can create sustainable, efficient, and secure IT systems. That is, the latest advancements in leveraging AI may minimize environmental impact, optimize resource usage, and bolster cybersecurity within green IT frameworks. Thus, a holistic view of AI can drive sustainable innovation in computing and information systems. This is important for raising awareness about the importance of sustainability in the tech industry and promoting the adoption of green computing practices among IT professionals and organizations. Sustainable Information Security in the Age of AI and Green Computing contributes to a deeper understanding of the synergies between AI, green computing, and information security, highlighting how these fields can work together to create more sustainable and secure systems. By presenting cutting-edge research, practical solutions, and future trends, the book inspires new ideas and developments in sustainable IT practices and technologies. Covering topics such as digital ecosystems, malware detection, and carbon emission optimization, this book is an excellent resource for IT managers, data center operators, software developers, cybersecurity experts, policymakers, corporate decision-makers, professionals, researchers, scholars, academicians, and more.
Convergence Of Cybersecurity And Cloud Computing
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Author : Avanija, J.
language : en
Publisher: IGI Global
Release Date : 2024-12-27
Convergence Of Cybersecurity And Cloud Computing written by Avanija, J. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-27 with Computers categories.
The convergence of cybersecurity and cloud computing is crucial for protecting data and ensuring the integrity of digital systems in an increasingly interconnected world. As cloud computing continues to grow, so does the need for robust security measures to address vulnerabilities in these environments. Understanding how to secure cloud deployments is essential for businesses, organizations, and individuals to safeguard sensitive information and maintain trust in digital services. By addressing the unique security challenges posed by cloud computing, society can better adapt to the evolving landscape of digital threats and ensure the safety of critical infrastructure. Convergence of Cybersecurity and Cloud Computing is a comprehensive resource to navigate the link between cybersecurity and cloud computing. It discusses the unique security challenges that arise from cloud environments. Covering topics such as artificial intelligence, data protection, and threat detection, this book is an excellent resource for academicians, research scholars, IT professionals, security experts, faculty, and more.
Data Science Exploration In Artificial Intelligence
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Author : Gururaj H L
language : en
Publisher: CRC Press
Release Date : 2025-02-26
Data Science Exploration In Artificial Intelligence written by Gururaj H L and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-26 with Computers categories.
The book captures the essence of the International Conference on Data Science & Exploration in Artificial Intelligence and offers a comprehensive exploration of cutting-edge research in AI, data science, and their applications. It covers a wide array of topics including advanced Data Science, IoT, Security, Cloud Computing, Networks, Security, Image, Video and Signal Processing, Computational Biology, Computer and Information Technology. It highlights innovative research contributions and practical applications, offering readers a detailed understanding of current trends and challenges. The findings emphasize the role of global collaboration and interdisciplinary approaches in pushing the boundaries of AI and data science. Selected papers published by Taylor and Francis showcase pioneering work that is shaping the future of these fields. This is an ideal read for AI and data science researchers, industry professionals, and students seeking to stay updated on the latest advancements and ethical considerations in these areas.
Advancements In Cloud Based Intelligent Informative Engineering
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Author : Kishor, Kaushal
language : en
Publisher: IGI Global
Release Date : 2025-04-17
Advancements In Cloud Based Intelligent Informative Engineering written by Kishor, Kaushal and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-17 with Technology & Engineering categories.
In this ever-changing world, the rapid evolution of cloud computing and AI has paved the way for advancements in cloud-based intelligent engineering. This emerging field integrates cloud computing, big data, and AI to enhance the efficiency and automation of engineering processes. By leveraging cloud-based intelligent systems, industries can optimize data management, improve real-time collaboration, and drive innovation across various engineering domains. Advancements in Cloud-Based Intelligent Informative Engineering explores technological advancements and devices in cloud technology. It examines cloud-based intelligent system approaches and developments in informative engineering. This book covers topics such as IoT, machine learning, and blockchain, and is a useful resource for researchers, engineers, business owners, academicians, and scientists.
Artificial Intelligence And Internet Of Things Based Augmented Trends For Data Driven Systems
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Author : Anshu Singla
language : en
Publisher: CRC Press
Release Date : 2024-07-31
Artificial Intelligence And Internet Of Things Based Augmented Trends For Data Driven Systems written by Anshu Singla and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-31 with Computers categories.
This book comprehensively discusses the role of cloud computing in artificial intelligence‐based data‐driven systems and hybrid cloud computing for large data‐driven applications. It further explores new approaches, paradigms, and frameworks to meet societal challenges by providing solutions for critical insights into data. The text provides Internet of Things‐based frameworks and advanced computing techniques to deal with online/virtual systems. This book: • Covers the aspects of security, authentication, and prediction for data‐driven systems in heterogeneous environments. • Provides data‐driven frameworks in combination with the Internet of Things, artificial intelligence, and computing to provide critical insights and decision‐making for real‐time problems. • Showcases deep learning‐based computer vision algorithms for enhanced pattern detection in different domains based on data‐centric approaches. • Examines the role of the Internet of Things and machine learning algorithms for data‐driven systems. • Highlights the applications of data‐driven systems and cloud computing in enhancing network performance. This book is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, and computer science engineering.