Security And Privacy In Cloud Based Ai
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Security and Privacy in Cloud-Based AI
Author: Samarth Shah Dr. Vikhyat Singhal
language: en
Publisher: DeepMisti Publication
Release Date: 2025-01-01
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
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
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.