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.

Internet-of-Things (IoTs) have developed for more than one decade since their first appearance. At their early stage, IoT devices are generally developed as sensor extensions, which are not capable of performing complicated computing tasks. Hence, offloading the computational tasks to the cloud servers is the only option to learn the information from the sensory data. However, with the rapid evolution of the technologies in the field of System-on-Chip (SoC), more complex computational tasks are now able to be performed on IoT devices, which is inevitably facing multi-tenancy requirements. For example, a UAV-as-a-Service can be used by different users to perform object detection and traffic monitoring tasks. Unfortunately, current multi-tenancy edge systems face several issues from the security of the sensors and actuators and the safety of their cyber-physical environment. In this dissertation, we build an edge computing framework to address the security and safety problems of current multi-tenancy edge systems. This framework focuses on a broad category of IoT devices with sensors and actuators, including both rich computing resource devices with powerful edge processors such as ARM Cortex-A series processors and bare-metal IoT devices with only microcontrollers such as ARM Cortex-M series processors. The first part of this work focuses on securing the sensors and the actuators at the edge. More specifically, we propose PROTC and VirtSense that utilize the hardware-assisted trusted execution environment (TEE) such as ARM TrustZone to isolated the actuation and sensing service from the untrusted execution environment. Furthermore, for those bare-metal IoT devices that the hardware-assisted TEE is not available, we design Aerogel that utilizes WebAssembly (Wasm) initially designed for secure JavaScript execution environment in web browsers, to protect the sensors and actuators. Our results show that the protection of Aerogel introduces 0.14% to 1.04% overhead to our benchmark tasks. After the sensors have been adequately secured, the second part of this dissertation focuses on the data usage from the sensors by preventing the applications from extracting unexpected information from the sensory data, which could ultimately lead to the leakage of users' privacy. To achieve such a goal, we design a performant and secure runtime named SecDeep that protects the inference libraries' integrity and sensor data's confidentiality by leveraging the TEE to securely host the deep learning code and the drivers of sensors, actuators, and the edge accelerator. Our results indicate that with the assistance of the edge accelerator, SecDeep achieves 16 to 172 times faster performance than without using it while still providing data protection. Although ensuring the security of the IoT devices can mitigate the safety issues, not all safety issues are caused by security problems such as the user's misconfiguration. We propose RemedIoT in the third part of this dissertation, which tackles the IoT device actuation conflicts by introducing actuation programming abstractions to provide remedial actions of those conflicts. Our evaluations on RemedIoT shows that around 80% of device conflicts can be provided remedial actions.

TAGLINE Securing the Future of IoT with Advanced Edge Computing Solutions KEY FEATURES ● Tailored security protocols for edge computing, ensuring comprehensive protection against cyber threats. ● Master strategies for deploying, monitoring, and securing edge devices to maintain a resilient IoT ecosystem. ● Gain valuable insights from real-world examples, guiding you through the implementation of secure edge computing solutions across diverse industries. DESCRIPTION Embark on a journey into the cutting-edge world of secure edge computing. In this meticulously crafted handbook, delve deep into the intricacies of this transformative technology that is reshaping the landscape of computing. From its fundamental principles to advanced applications, this book leaves no stone unturned in demystifying the complexities of secure edge computing. Explore the architecture that underpins this paradigm shift, unraveling how it seamlessly integrates cloud resources with local devices to enhance efficiency and reliability. Dive into the nuances of security in edge computing, understanding the unique challenges posed by distributed networks and diverse endpoints. Learn essential strategies for safeguarding data integrity, confidentiality, and availability in this dynamic environment, ensuring robust protection against emerging threats. Discover real-world case studies and best practices from industry experts, gaining invaluable insights into deploying and managing secure edge computing solutions across various domains. With clear explanations, practical examples, and actionable advice, Secure Edge Computing For IoT empowers you to harness the full potential of this transformative technology while fortifying your digital infrastructure against evolving security risks. Prepare to embark on a journey of innovation and resilience at the edge of tomorrow’s computing landscape. WHAT WILL YOU LEARN ● Understand routing protocols and communication strategies tailored for edge environments. ● Implement measures to fortify edge infrastructure against cyber threats and safeguard sensitive data. ● Leverage real-time insights for informed decision-making and innovation. ● Integrate ML algorithms to enhance edge capabilities and optimize operations. ● Ensure reliability, scalability, and compliance with industry standards. ● Gain practical insights into the development process, from design to deployment. ● Protect edge infrastructure with encryption, authentication, and intrusion detection. ● Adhere to regulations and best practices in edge computing to ensure regulatory compliance and data privacy. ● Understand the components and architecture that underpin edge computing ecosystems. ● Explore practical examples and use cases from various industries to illustrate best practices and challenges in implementing secure edge computing solutions. WHO IS THIS BOOK FOR? This book is tailored for a diverse audience of IT professionals seeking to deepen their understanding of secure edge computing. It is particularly beneficial for DevOps engineers, system administrators, cloud architects, IoT developers, data analysts, and cybersecurity specialists. TABLE OF CONTENTS 1. Introduction to IoT and Edge Computing 2. Edge Computing Fundamentals and Use Cases 3. Edge Networking and Routing Protocols 4. IoT and Edge Computing Security 5. Data Analytics and Machine Learning at Edge 6. Secure Edge Design and Development 7. Secure Edge Penetration Testing and Incident Management 8. Edge Computing Cybersecurity and Cryptography 9. Cloud Computing in the Context of Edge Computing 10. Secure Edge Development and Implementation Index

This reference text presents the state-of-the-art in edge computing, its primitives, devices and simulators, applications, and healthcare-based case studies. The text provides integration of blockchain with edge computing systems and integration of edge with Internet of Things (IoT) and cloud computing. It will facilitate readers to setup edge-based environment and work with edge analytics. It covers important topics, including cluster computing, fog computing, networking architecture, edge computing simulators, edge analytics, privacy-preserving schemes, edge computing with blockchain, autonomous vehicles, and cross-domain authentication. Aimed at senior undergraduate, graduate students and professionals in the fields of electrical engineering, electronics engineering, computer science, and information technology, this text: Discusses edge data storage security with case studies and blockchain integration with the edge computing system Covers theoretical methods with the help of applications, use cases, case studies, and examples Provides healthcare real-time case studies elaborated by utilizing the virtues of homomorphic encryption Discusses real-time interfaces, devices, and simulators in detail

This book provides the state-of-the-art development on security and privacy for fog/edge computing, together with their system architectural support and applications. This book is organized into five parts with a total of 15 chapters. Each area corresponds to an important snapshot. The first part of this book presents an overview of fog/edge computing, focusing on its relationship with cloud technology and the future with the use of 5G communication. Several applications of edge computing are discussed. The second part of this book considers several security issues in fog/edge computing, including the secure storage and search services, collaborative intrusion detection method on IoT-fog computing, and the feasibility of deploying Byzantine agreement protocols in untrusted environments. The third part of this book studies the privacy issues in fog/edge computing. It first investigates the unique privacy challenges in fog/edge computing, and then discusses a privacy-preserving framework for the edge-based video analysis, a popular machine learning application on fog/edge. This book also covers the security architectural design of fog/edge computing, including a comprehensive overview of vulnerabilities in fog/edge computing within multiple architectural levels, the security and intelligent management, the implementation of network-function-virtualization-enabled multicasting in part four. It explains how to use the blockchain to realize security services. The last part of this book surveys applications of fog/edge computing, including the fog/edge computing in Industrial IoT, edge-based augmented reality, data streaming in fog/edge computing, and the blockchain-based application for edge-IoT. This book is designed for academics, researchers and government officials, working in the field of fog/edge computing and cloud computing. Practitioners, and business organizations (e.g., executives, system designers, and marketing professionals), who conduct teaching, research, decision making, and designing fog/edge technology will also benefit from this book The content of this book will be particularly useful for advanced-level students studying computer science, computer technology, and information systems, but also applies to students in business, education, and economics, who would benefit from the information, models, and case studies therein.

This book offers the latest research results in security and privacy for Intelligent Edge Computing Systems. It presents state-of-the art content and provides an in-depth overview of the basic background in this related field. Practical areas in both security and risk analysis are addressed as well as connections directly linked to Edge Computing paradigms. This book also offers an excellent foundation on the fundamental concepts and principles of security, privacy and risk analysis in Edge Computation infrastructures. It guides the reader through the core ideas with relevant ease. Edge Computing has burst onto the computational scene offering key technologies for allowing more flexibility at the edge of networks. As Edge Computing has evolved as well as the need for more in-depth solutions in security, privacy and risk analysis at the edge. This book includes various case studies and applications on Edge Computing. It includes the Internet of Things related areas, such as smart cities, blockchain, mobile networks, federated learning, cryptography and cybersecurity. This book is one of the first reference books covering security and risk analysis in Edge Computing Systems. Researchers and advanced-level students studying or working in Edge Computing and related security fields will find this book useful as a reference. Decision makers, managers and professionals working within these fields will want to purchase this book as well.

This comprehensive book presents a new approach to dynamic distributed virtual systems. Wireless grids edgeware promises new cloud to edge secure architectures with mobile security for the Internet of Things (IoT). The scope covers framworks and models for wireless grids edgeware, as well as open specifications and new applications called gridlets and wiglets.The book also highlights fundamental to advanced concepts necessary to grasp wireless grids, edgeware and IoT current issues, challenges and solutions as well as future trends in IoT infrastructures. It also serves as a virtual and effective bridge between academic research on theory, and science-practitioners work with wireless grids, edgeware and IoT technology.This unique compendium is composed for researchers, professionals and students working in the field of innovation management, wireless technologies, information system theory, systems engineering, security system designers, and mobile cloud service developers. University professors and researchers involved in wireless grids, edgeware and IoT related networking may find the book useful for their undergraduate and especially graduate courses.