Social Legal And Ethical Implications Of Iot Cloud And Edge Computing Technologies


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Social, Legal, and Ethical Implications of IoT, Cloud, and Edge Computing Technologies


Social, Legal, and Ethical Implications of IoT, Cloud, and Edge Computing Technologies

Author: Cornetta, Gianluca

language: en

Publisher: IGI Global

Release Date: 2020-06-26


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The adoption of cloud and IoT technologies in both the industrial and academic communities has enabled the discovery of numerous applications and ignited countless new research opportunities. With numerous professional markets benefiting from these advancements, it is easy to forget the non-technical issues that accompany technologies like these. Despite the advantages that these systems bring, significant ethical questions and regulatory issues have become prominent areas of discussion. Social, Legal, and Ethical Implications of IoT, Cloud, and Edge Computing Technologies is a pivotal reference source that provides vital research on the non-technical repercussions of IoT technology adoption. While highlighting topics such as smart cities, environmental monitoring, and data privacy, this publication explores the regulatory and ethical risks that stem from computing technologies. This book is ideally designed for researchers, engineers, practitioners, students, academicians, developers, policymakers, scientists, and educators seeking current research on the sociological impact of cloud and IoT technologies.

Secure Edge Computing


Secure Edge Computing

Author: Mohiuddin Ahmed

language: en

Publisher: CRC Press

Release Date: 2021-08-12


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The internet is making our daily life as digital as possible and this new era is called the Internet of Everything (IoE). Edge computing is an emerging data analytics concept that addresses the challenges associated with IoE. More specifically, edge computing facilitates data analysis at the edge of the network instead of interacting with cloud-based servers. Therefore, more and more devices need to be added in remote locations without any substantial monitoring strategy. This increased connectivity and the devices used for edge computing will create more room for cyber criminals to exploit the system’s vulnerabilities. Ensuring cyber security at the edge should not be an afterthought or a huge challenge. The devices used for edge computing are not designed with traditional IT hardware protocols. There are diverse-use cases in the context of edge computing and Internet of Things (IoT) in remote locations. However, the cyber security configuration and software updates are often overlooked when they are most needed to fight cyber crime and ensure data privacy. Therefore, the threat landscape in the context of edge computing becomes wider and far more challenging. There is a clear need for collaborative work throughout the entire value chain of the network. In this context, this book addresses the cyber security challenges associated with edge computing, which provides a bigger picture of the concepts, techniques, applications, and open research directions in this area. In addition, the book serves as a single source of reference for acquiring the knowledge on the technology, process and people involved in next generation computing and security. It will be a valuable aid for researchers, higher level students and professionals working in the area.

Cloud Computing for Smart Education and Collaborative Learning


Cloud Computing for Smart Education and Collaborative Learning

Author: Urmila Shrawankar

language: en

Publisher: CRC Press

Release Date: 2025-03-26


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The book presents next-generation education technology and the pedagogy of the Education Cloud. It covers technological developments, case studies, innovative research approaches, and solutions for advanced learning paradigms using Internet of Things (IoT), cloud computing, and machine learning to handle various challenges of the smart education system. It discusses cloud architecture, management, and frame- work for education from virtual classrooms and labs. It shows how cloud computing framework can be integrated with fog computing, edge computing, deep learning, and IoT. Illustrates from fundamental theories to practical and sophisticated applications of cloud technology for the education domain Explores e-learning applications through location-independent cloud services to reduce cost Covers result-oriented, real-time solutions for smart, accessible education and its real-time application support Discusses accessible cloud services for people with special needs Presents flexible and scalable cost-effective e-learning architecture and scenario for education technology It serves as a valuable resource for academicians, researchers, and professionals interested in smart education and cloud technology.