Computer Security

Many industries are affected by the growing advancements and stability of the internet of things (IoT) technologies and tools. These include the agricultural fields. With such advancements, decision-enabling agricultural field data gets gathered and transmitted meticulously through numerous IoT sensors and devices deployed in agricultural fields and their surroundings. Further study on these technologies is required to ensure they are utilized appropriately within the field. Applying Drone Technologies and Robotics for Agricultural Sustainability conveys the latest trends and transitions happening in the digital space in order to fulfill the varying needs and sentiments of the agriculture domain. Covering key topics such as deep learning, robots, sustainability, and smart farming, this premier reference source is ideal for industry professionals, farmers, computer scientists, policymakers, researchers, scholars, practitioners, instructors, and students.

Aircraft are becoming increasingly reliant on computing and networking technologies, with the advent of the Internet of Things, but this makes them vulnerable to cyber-attacks. This multidisciplinary book is at the cross section of aircraft systems, cybersecurity, and defence technologies. It covers the very latest in defending military and commercial aircraft against cyber-attacks. The interdisciplinary nature of aviation cybersecurity and its wide-ranging impact in various arenas require contributions of expertise from multiple disciplines to collaborate in identifying the most feasible ways forward. This book provides an understanding of the key technical, social and legal issues in aviation cybersecurity, explains the range of technical challenges involved, and proposes innovative solutions. Aviation Cybersecurity: Foundations, principles, and applications is a valuable resource for aviation and cybersecurity researchers and professionals in academia, industry, and military organisations. in academia, industry, and military organisations.in academia, industry, and military organisations.in academia, industry, and military organisations.

This thesis is focusing on three little-explored contextual conditions that are important for a better understanding of digital platform ecosystems: digital platforms in a nascent stage of maturity, digital platforms built by incumbents, and digital platforms embedded in the IoT phenomenon. Thus, the thesis contributes to the question of how established companies navigating nascent digital platform ecosystems in the IoT. The work builds and contributes to the literature on digital platform ecosystems. Three main contributions are made through explorative qualitative research in the form of Delphi and case studies as well as through systematic literature research on the above-mentioned themes: First, the thesis synthesizes important knowledge about the nascent stage of digital platform ecosystems and identifies value co-creation challenges specific to this early maturity stage. Second, given the increasing importance of established companies in the platform discourse, this thesis identifies the intra- and inter-organizational challenges that incumbent organizations face in building digital platform ecosystems, emphasizing the importance of the organizational type in building a platform ecosystem. Third, the dissertation positions platforms in the IoT as a new digital platform instantiation within the scholarly platform discourse and outlines important phoneme-related characteristics that determine value creation.

Data, informatics, and technology are now among the most important aspects inspiring health professionals and informaticians to improve healthcare for the benefit of patients. This book presents the proceedings of the 19th annual International Conference on Informatics, Management, and Technology in Healthcare (ICIMTH 2021), held as a virtual event due to COVID-19 pandemic restrictions on 16 and 17 October 2021 in Athens, Greece. The ICIMTH conferences are a series of scientific events which bring together scientists working in the field of biomedical and health informatics from around the world. The 2021 conference examined the field of biomedical and health informatics in a very broad framework, presenting the research and application outcomes of informatics from cell to populations, and including a number of technologies such as imaging, sensors and biomedical equipment, as well as management and organizational aspects, including legal and social issues and the setting of research priorities in health informatics. A significant number of the papers included here relate to the COVID-19 pandemic.Providing an insight into the latest developments in biomedical and health informatics, the book will be of interest to all those working in the field.

As enterprise access networks evolve with a larger number of mobile users, a wide range of devices and new cloud-based applications, managing user performance on an end-to-end basis has become rather challenging. Recent advances in big data network analytics combined with AI and cloud computing are being leveraged to tackle this growing problem. AI is becoming further integrated with software that manage networks, storage, and can compute. This edited book focuses on how new network analytics, IoTs and Cloud Computing platforms are being used to ingest, analyse and correlate a myriad of big data across the entire network stack in order to increase quality of service and quality of experience (QoS/QoE) and to improve network performance. From big data and AI analytical techniques for handling the huge amount of data generated by IoT devices, the authors cover cloud storage optimization, the design of next generation access protocols and internet architecture, fault tolerance and reliability in intelligent networks, and discuss a range of emerging applications. This book will be useful to researchers, scientists, engineers, professionals, advanced students and faculty members in ICTs, data science, networking, AI, machine learning and sensing. It will also be of interest to professionals in data science, AI, cloud and IoT start-up companies, as well as developers and designers.

The Internet of Things (IoT) refers to a system of interconnected computing devices with sensors, processing ability, and software, which connect and communicate with other devices and systems over the internet or other networks. IoT technology enables applications that perform tasks without human-to-human or human-to-computer interaction, improving efficiency and generating new opportunities. IoT digitalises industries to improve product quality and cost and creates the potential for a fully networked, human-cantered society with healthy economic growth. The concept of Internet of Everything (IoE) goes beyond IoT to include the connections between people, things, data, and processes combined into a common interrelated system, leveraging human and artificial intelligence to improve decisions and experience, and represents the future of IoT technology. Internet of Everything: Smart Sensing Technologies addresses the forefront of study of IoE by presenting state-of-the-art research along with current and future challenges in building new, smart applications. Specific topics covered include sensing, connectivity and communication, knowledge extraction by discovering resources for modelling information, and security and privacy. The sixteen chapters of this book will benefit students, researchers, and others who are interested in the future of this exciting technology.

The Internet of Medical Things (IoMT) allows clinicians to monitor patients remotely via a network of wearable or implantable devices.

Internet of Things and the Law: Legal Strategies for Consumer-Centric Smart Technologies is the most comprehensive and up-to-date analysis of the legal issues in the Internet of Things (IoT). For decades, the decreasing importance of tangible wealth and power – and the increasing significance of their disembodied counterparts – has been the subject of much legal research. For some time now, legal scholars have grappled with how laws drafted for tangible property and predigital ‘offline'technologies can cope with dematerialisation, digitalisation, and the internet. As dematerialisation continues, this book aims to illuminate the opposite movement: rematerialisation, namely, the return of data, knowledge, and power within a physical ‘smart'world. This development frames the book's central question: can the law steer rematerialisation in a human-centric and socially just direction? To answer it, the book focuses on the IoT, the sociotechnological phenomenon that is primarily responsible for this shift. After a thorough analysis of how existing laws can be interpreted to empower IoT end users, Noto La Diega leaves us with the fundamental question of what happens when the law fails us and concludes with a call for collective resistance against ‘smart'capitalism. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution (CC-BY) 4.0 license.

This comprehensive resource provides a thorough introduction to the security risks, attack vectors and vulnerabilities an Internet of things (IoT) product and its network can face at different phases of its lifecycle. The risks at each stage of the development and operations (DevOps) lifecycle of an IoT product are analyzed. Examples of recent, relevant security threats faced by the industry are discussed and why the security breach happened, how it was resolved, and what could have been done to avoid them will be explained. Readers will learn the best practices to secure their IoT products, and networks in a holistic way.IoT and the diverse and unique nature of IoT applications across the commercial and industrial landscape, are introduced, including the need for securing IoT. The lifecycle of IoT security, specifically the security implementations that need to be carried out at various stages in the operational process of an IoT service are presented, as well as the security requirements during the planning, security integration, operational, maintenance, and planned discontinuation phase of an IoT service. The vulnerabilities in IoT, the various attack vectors exploited by attackers, and preventive measures that can be undertaken to avoid these security attacks are also explored. Readers are acclimated with various steps that must be undertaken to prepare for IoT security attacks, and techniques that can be employed to detect them. Key challenges involved with implementing appropriate levels of security in IoT due to heterogeneity, interoperability, human errors, and commercial factors are discussed, as well as the need for regulatory guidance for the IoT industry and highlights specific examples of regulations in leading markets across the globe.

Privacy by design is a proactive approach that promotes privacy and data protection compliance throughout project lifecycles when storing or accessing personal data.

Blockchain, whether public or private, is capable enough to maintain the integrity of transactions by decentralizing the records for users. Many IoT companies are using blockchain technology to make the world a better-connected place. Businesses and researchers are exploring ways to make this technology increasingly efficient for IoT services. This volume presents the recent advances in these two technologies. Chapters explain the fundamentals of Blockchain and IoT, before explaining how these technologies, when merged together, provide a transparent, reliable, and secure model for data processing by intelligent devices in various domains. Readers will be able to understand how these technologies are making an impact on healthcare, supply chain management and electronic voting, to give a few examples. The 10 peer-reviewed book chapters have been contributed by scholars, researchers, academicians, and engineering professionals, and provide a comprehensive yet easily digestible update on Blockchain on IoT technology.

This work includes details starting from the basics of drone technology and discusses diverse aspects related to drone designing and implementation. Further chapters detail the impact of drone technology on society in terms of development, challenges, and security concerns. Then, implementations of artificial intelligence techniques such as machine learning, deep learning, etc., are discussed to translate drone technology into intelligent drone technology. There are diverse applications in the area of intelligent drone technologies such as agriculture, disaster management, security, military, etc. Hence, in this book, some of the drone-specific applications are discussed.

This book presents the technologies that empower edge intelligence, along with their use in novel IoT solutions. Specifically, it presents how 5G/6G, Edge AI, and Blockchain solutions enable novel IoT-based decentralized intelligence use cases at the edge of the cloud/edge/IoT continuum.

Smart Health Technologies for the COVID-19 Pandemic: Internet of medical things perspectives looks at the role technology has played to monitor, map and fight the global COVID-19 pandemic. Chapters outline risk assessment methodologies and social distancing and infection control technologies in the face of this disease outbreak. The applications of Big Data and artificial intelligence in the fight against the spread of COVID-19 are explored in this edited book, as well as advances in early diagnostic testing and remote monitoring systems, and blockchain-based solutions for secure data handling. The implementation of machine learning for reviewing and analysing biomedical data and assisting with drug design is also discussed. Emphasising the vital role that intelligent advanced healthcare informatics has played during this crucial time, this book is a valuable resource for researchers in the fields of biomedical engineering, bioengineering, electronics engineering, health informatics, wireless body area networks (WBAN), data analytics, telemedicine, and those in related fields. ctronics engineering, health informatics, wireless body area networks (WBAN), data analytics, telemedicine, and those in related fields.ctronics engineering, health informatics, wireless body area networks (WBAN), data analytics, telemedicine, and those in related fields.ctronics engineering, health informatics, wireless body area networks (WBAN), data analytics, telemedicine, and those in related fields.

Wireless mesh networks (WMNs) are wireless communication networks organized in a mesh topology with radio capabilities. These networks can self-form and self-heal and are not restricted to a specific technology or communication protocol. They provide flexible yet reliable connectivity that cellular networks cannot deliver.