Privacy Preserving Ai Models In Cloud Based Cybersecurity
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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.
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
Understanding Ai In Cybersecurity And Secure Ai
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Author : Dilli Prasad Sharma
language : en
Publisher: Springer Nature
Release Date : 2025-05-26
Understanding Ai In Cybersecurity And Secure Ai written by Dilli Prasad Sharma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-26 with Business & Economics categories.
This book presents an overview of the emerging topics in Artificial Intelligence (AI) and cybersecurity and addresses the latest AI models that could be potentially applied to a range of cybersecurity areas. Furthermore, it provides different techniques of how to make the AI algorithms secure from adversarial attacks. The book presents the cyber threat landscape and explains the various spectrums of AI and the applications and limitations of AI in cybersecurity. Moreover, it explores the applications and limitations of secure AI. The authors discuss the three categories of machine learning (ML) models and reviews cutting-edge recent Deep Learning (DL) models. Furthermore, the book provides a general AI framework in security as well as different modules of the framework; similarly, chapter four proposes a general framework for secure AI. It explains different aspects of network security including malware and attacks. The book also includes a comprehensive study of various scopes of application security; categorised into three groups of smartphone, web application, and desktop application and delves into the concepts of cloud security. The authors discuss state-of-the-art Internet of Things (IoT) security and describe various challenges of AI for cybersecurity, such as data diversity, model customising, explainability, and time complexity and includes some future work. They provide a comprehensive understanding of adversarial machine learning including the up-to-date adversarial attacks and defences. The book finishes off with a discussion of the challenges and future work in secure AI. Overall, this book covers applications of AI models to various fields of cybersecurity and appeals not only to an scholarly audience but also to professionals wanting to learn more about the new developments in these areas.
Privacy Preservation And Secured Data Storage In Cloud Computing
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Author : D., Lakshmi
language : en
Publisher: IGI Global
Release Date : 2023-10-25
Privacy Preservation And Secured Data Storage In Cloud Computing written by D., Lakshmi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-25 with Computers categories.
As cloud services become increasingly popular, safeguarding sensitive data has become paramount. Privacy Preservation and Secured Data Storage in Cloud Computing is a comprehensive book that addresses the critical concerns surrounding privacy and security in the realm of cloud computing. Beginning with an introduction to cloud computing and its underlying technologies, the book explores various models of cloud service delivery. It then delves into the challenges and risks associated with storing and processing data in the cloud, including data breaches, insider threats, and third-party access. The book thoroughly examines techniques and tools to enhance privacy and security in the cloud, covering encryption, access control, data anonymization, and other measures to mitigate risks. Additionally, it explores emerging trends and opportunities in cloud security, such as blockchain-based solutions, homomorphic encryption, and other cutting-edge technologies poised to transform data privacy and security. This invaluable resource offers practical advice and in-depth analysis for cloud service providers, IT professionals, researchers, and students seeking to understand best practices for securing data in the cloud.
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.
Proceedings Of The International Conference On Sustainability Innovation In Computing And Engineering Icsice 24
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Author : S. Kannadhasan
language : en
Publisher: Springer Nature
Release Date : 2025-06-24
Proceedings Of The International Conference On Sustainability Innovation In Computing And Engineering Icsice 24 written by S. Kannadhasan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-24 with Computers categories.
This is an open access book. The International Conference on Sustainability Innovation in Computing and Engineering is a distinguished event that brings together leading experts, researchers, practitioners, and innovators to explore the transformative role of computing and engineering in advancing sustainable solutions. In today’s world, where environmental challenges are intensifying, the need for technological innovation in addressing sustainability issues has never been more urgent. This conference serves as a dynamic platform for sharing groundbreaking research, showcasing innovative technologies, and fostering cross-disciplinary collaborations to accelerate sustainable development. With a focus on integrating sustainability into the core of computing and engineering practices, this conference will delve into a wide array of topics such as sustainable computing technologies, energy-efficient systems, green engineering practices, and the role of data science in promoting sustainability. It will also highlight the latest advancements in areas like artificial intelligence, smart systems, and digital solutions that contribute to environmental stewardship and social equity. The conference aims to bridge the gap between theoretical research and practical application, empowering participants to develop actionable strategies and innovative solutions that can be deployed in real-world scenarios. By facilitating robust discussions and knowledge exchange, the conference seeks to inspire new ideas, foster collaboration, and catalyze the development of technologies that not only enhance efficiency and performance but also contribute to a more sustainable future. It is an honor to host a gathering of visionary leaders in computing and engineering, whose expertise and insights will guide the global movement toward a greener, more sustainable world.
Blockchain For Cybersecurity And Privacy
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Author : Yassine Maleh
language : en
Publisher: CRC Press
Release Date : 2020-08-02
Blockchain For Cybersecurity And Privacy written by Yassine Maleh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-02 with Computers categories.
Blockchain technology is defined as a decentralized system of distributed registers that are used to record data transactions on multiple computers. The reason this technology has gained popularity is that you can put any digital asset or transaction in the blocking chain, the industry does not matter. Blockchain technology has infiltrated all areas of our lives, from manufacturing to healthcare and beyond. Cybersecurity is an industry that has been significantly affected by this technology and may be more so in the future. Blockchain for Cybersecurity and Privacy: Architectures, Challenges, and Applications is an invaluable resource to discover the blockchain applications for cybersecurity and privacy. The purpose of this book is to improve the awareness of readers about blockchain technology applications for cybersecurity and privacy. This book focuses on the fundamentals, architectures, and challenges of adopting blockchain for cybersecurity. Readers will discover different applications of blockchain for cybersecurity in IoT and healthcare. The book also includes some case studies of the blockchain for e-commerce online payment, retention payment system, and digital forensics. The book offers comprehensive coverage of the most essential topics, including: Blockchain architectures and challenges Blockchain threats and vulnerabilities Blockchain security and potential future use cases Blockchain for securing Internet of Things Blockchain for cybersecurity in healthcare Blockchain in facilitating payment system security and privacy This book comprises a number of state-of-the-art contributions from both scientists and practitioners working in the fields of blockchain technology and cybersecurity. It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this particular area or those interested in grasping its diverse facets and exploring the latest advances on the blockchain for cybersecurity and privacy.
Ai Enabled Threat Intelligence And Cyber Risk Assessment
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Author : Edlira Martiri
language : en
Publisher: CRC Press
Release Date : 2025-06-23
Ai Enabled Threat Intelligence And Cyber Risk Assessment written by Edlira Martiri and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-23 with Computers categories.
AI-Enabled Threat Intelligence and Cyber Risk Assessment delves into the transformative potential of artificial intelligence (AI) in revolutionizing cybersecurity, offering a comprehensive exploration of current trends, challenges, and future possibilities in mitigating cyber risks. This book brings together cutting-edge research and practical insights from an international team of experts to examine how AI technologies are reshaping threat intelligence, safeguarding data, and driving digital transformation across industries. The book covers a broad spectrum of topics, including AI-driven fraud prevention in digital marketing, strategies for building customer trust through data privacy, and the role of AI in enhancing educational and healthcare cybersecurity systems. Through in-depth analyses and case studies, it highlights the barriers to AI adoption, the legal and ethical considerations, and the development of resilient cybersecurity frameworks. Special emphasis is given to regional insights, such as the digital transformation of Kazakh businesses and the integration of AI in diverse global contexts, offering valuable lessons for researchers, policymakers, and practitioners. From safeguarding patient data in healthcare to addressing automated threats in digital marketing, this book provides actionable strategies and emerging perspectives on the evolving landscape of AI in risk management. Designed for academics, professionals, and students, AI-Enabled Threat Intelligence and Cyber Risk Assessment serves as an essential resource for understanding the intersection of AI, cybersecurity, and risk assessment. With contributions from leading researchers across various disciplines, this book underscores the critical role of AI in building resilient, ethical, and innovative solutions to today’s most pressing cybersecurity challenges.
Ai Enhanced Cybersecurity For Industrial Automation
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Author : Pandey, Hari Mohan
language : en
Publisher: IGI Global
Release Date : 2025-05-09
Ai Enhanced Cybersecurity For Industrial Automation written by Pandey, Hari Mohan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-09 with Computers categories.
As industrial automation systems become reliant on digital technologies, they face growing threats from sophisticated cyberattacks. Traditional cybersecurity measures often struggle to keep up with the evolving threat landscape, leaving critical infrastructure vulnerable. AI-enhanced cybersecurity offers a promising solution by leveraging machine learning and intelligent algorithms to detect, respond to, and even predict cyber threats in real time. By integrating AI into industrial cybersecurity frameworks, organizations can strengthen their defenses, ensure operational continuity, and protect valuable assets from malicious threats. AI-Enhanced Cybersecurity for Industrial Automation explores the integration of AI and cybersecurity in industry 5.0, emphasizing sustainability, resilience, and ethical considerations. It examines how industry 5.0 extends beyond automation and efficiency by incorporating human-centric, sustainable, and intelligent technologies into industrial ecosystems. This book covers topics such as blockchain, industrial engineering, and machine learning, and is a useful resource for computer engineers, business owners, security professionals, academicians, researchers, and scientists.
Artificial Intelligence For Cloud Edge Computing
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Author : Jayaraman Kumarappan
language : en
Publisher: RK Publication
Release Date : 2024-11-22
Artificial Intelligence For Cloud Edge Computing written by Jayaraman Kumarappan and has been published by RK Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-22 with Computers categories.
Artificial Intelligence for Cloud & Edge Computing the integration of AI with cloud and edge computing, highlighting how these technologies transform data processing and decision-making. The AI models optimized for distributed environments, addressing challenges like latency, security, and scalability. It key applications across industries, examines emerging trends, and provides insights into the future of intelligent systems. Designed for professionals, researchers, and students, it offers a comprehensive understanding of how AI enhances computing efficiency at both centralized cloud infrastructures and decentralized edge devices.