Artificial Intelligence For Cyber Physical Systems Hardening
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Artificial Intelligence for Cyber-Physical Systems Hardening
This book presents advances in security assurance for cyber-physical systems (CPS) and report on new machine learning (ML) and artificial intelligence (AI) approaches and technologies developed by the research community and the industry to address the challenges faced by this emerging field. Cyber-physical systems bridge the divide between cyber and physical-mechanical systems by combining seamlessly software systems, sensors, and actuators connected over computer networks. Through these sensors, data about the physical world can be captured and used for smart autonomous decision-making. This book introduces fundamental AI/ML principles and concepts applied in developing secure and trustworthy CPS, disseminates recent research and development efforts in this fascinating area, and presents relevant case studies, examples, and datasets. We believe that it is a valuable reference for students, instructors, researchers, industry practitioners, and related government agencies staff.
Pan-African Artificial Intelligence and Smart Systems
Author: Telex M. N. Ngatched
language: en
Publisher: Springer Nature
Release Date: 2025-07-26
This two-volume set LNICST 631 & 632 constitutes the proceedings of the Third Pan-African Conference on Pan-African Intelligence and Smart Systems, PAAISS 2024, which was held in Durban, South Africa, during December 4–6, 2024. The 39 full papers presented in this volume were carefully reviewed and selected from 103 submissions. They are organized according to the following topics: Part-I : Artificial Intelligence in Medicine; Smart Systems Enabling Technologies; and Artificial Intelligence-Enabled Communication Systems. Part-II : Artificial Intelligence Theory and Methods; Artificial Intelligence and Smart Systems; Remote sensing and Artificial Intelligence.
Risk-Based Approach to Secure Cloud Migration
As cloud computing continues to revolutionize industries, ensuring robust security measures is crucial to protecting sensitive data and maintaining operational integrity. The rapid expansion of cloud services introduces new vulnerabilities, making strong security frameworks essential. By implementing advanced encryption, access controls, and continuous monitoring, organizations can mitigate threats while maximizing the benefits of cloud technology. Secure cloud migration strategies and incident response planning further enhance resilience, ensuring business continuity in the face of evolving cybersecurity challenges. As reliance on cloud infrastructure grows, developing expertise in cloud security is vital for organizations and professionals striving to safeguard digital assets in an increasingly interconnected world. Risk-Based Approach to Secure Cloud Migration is a reliable source of knowledge for further exploration and experimentation in cloud security due to the extensive coverage of the latest trends and challenges in cloud security. It facilitates the dissemination of unique concepts and the development of innovative cloud security solutions. Covering topics such as load balancing, smart grid functional technology (FT) services, and multifactor authentication (MFA), this book is an excellent resource for IT professionals, cloud service providers, security professionals, researchers, professionals, scholars, academicians, and more.