Security Issues In Fog Computing From 5g To 6g

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Security Issues in Fog Computing from 5G to 6G

The book provides an exploration of how fog security is changing the information technology industry and will continue to in the next decade. The book starts with the discussion on how fog computing enables key applications in 5G, the Internet of Things, and big data. It then presents an overview of fog/edge computing, focusing on its relationship with cloud technologies and the future use of secure 5G/6G communications. The book also provides a comprehensive review of liabilities in fog/edge computing within multi-level architectures and intelligent management. It finally lands on the analysis of the applicability of fog/edge computing in smart cities, including the area of Industrial IoT, edge-based augmented reality, data streaming, and blockchain. The various use cases of fog/edge security and its impact on the technology industry; An overview of blockchain to apprehend security services in fog/edge computing; Promising key technologies to support 5G and 6G networks, with detailed explanations of the related security and privacy issues. .
Security Issues in Fog Computing from 5G to 6G

The book provides an examination of how fog security is changing the information technology industry and will continue to in the next decade. The authors first discuss how fog enables key applications in wireless 5G, the Internet of Things, and big data. The book then presents an overview of fog/edge computing, focusing on its relationship with cloud technology, Internet of Things and the future with the use of secure 5G/6G communication. The book also presents a comprehensive overview of liabilities in fog/edge computing within multi-level architectures and the intelligent management. The last part of the book reviews applications of fog/edge computing in smart cities, including in Industrial IoT, edge-based augmented reality, data streaming, and blockchain-based.
6G Enabled Fog Computing in IoT

Over the past few years, the demand for data traffic has experienced explosive growth thanks to the increasing need to stay online. New applications of communications, such as wearable devices, autonomous systems, drones, and the Internet of Things (IoT), continue to emerge and generate even more data traffic with vastly different performance requirements. With the COVID-19 pandemic, the need to stay online has become even more crucial, as most of the fields, would they be industrial, educational, economic, or service-oriented, had to go online as best as they can. As the data traffic is expected to continuously strain the capacity of future communication networks, these networks need to evolve consistently in order to keep up with the growth of data traffic. Thus, more intelligent processing, operation, and optimization will be needed for tomorrow’s communication networks. The Sixth Generation (6G) technology is latest approach for mobile systems or edge devices in terms of reduce traffic congestions, energy consumption blending with IoT devices applications. The 6G network works beyond the 5G (B5G), where we can use various platforms as an application e.g. fog computing enabled IoT networks, Intelligent techniques for SDN network, 6G enabled healthcare industry, energy aware location management. Still this technology must resolve few challenges like security, IoT enabled trust network. This book will focus on the use of AI/ML-based techniques to solve issues related to 6G enabled networks, their layers, as well as their applications. It will be a collection of original contributions regarding state-of-the-art AI/ML-based solutions for signal detection, channel modeling, resource optimization, routing protocol design, transport layer optimization, user/application behavior prediction 6G enabled software-defined networking, congestion control, communication network optimization, security, and anomaly detection. The proposed edited book emphasis on the 6G network blended with Fog-IoT networks to introduce its applications and future perspectives that helps the researcher to apply this technique in their domain and it may also helpful to resolve the challenges and future opportunities with 6G networks.