The Internet Of Risky Things

By 2020, the Internet of Things (IoT) will consist of millions of computational devices intimately connected to real-world aspects of human life. In this insightful book, Professor Sean Smith, who worked in information security long before the web appeared, explains that if we build the IoT the way we built the current internet and other information technology initiatives, we’re headed for trouble. With a focus on concrete solutions, The Internet of Risky Things explains how we can avoid simple flaws that have plagued several dramatic IT advances in recent decades. Developers, engineers, industrial designers, makers, and researchers will explore "design patterns of insecurities" and learn what’s required to route around or fix them in the nascent IoT. Examine bugs that plague large-scale systems, including integer overflow, race conditions, and memory corruption Look at successful and disastrous examples of previous quantum leaps in health IT, the smart grid, and autonomous vehicles Explore patterns in coding, authentication, and cryptography that led to insecurity Learn how blunders that led to spectacular IT disasters could have been avoided

In recent years, the rising complexity of Internet of Things (IoT) systems has increased their potential vulnerabilities and introduced new cybersecurity challenges. In this context, state of the art methods and technologies for security risk assessment have prominent limitations when it comes to large scale, cyber-physical and interconnected IoT systems. Risk assessments for modern IoT systems must be frequent, dynamic and driven by knowledge about both cyber and physical assets. Furthermore, they should be more proactive, more automated, and able to leverage information shared across IoT value chains. This book introduces a set of novel risk assessment techniques and their role in the IoT Security risk management process. Specifically, it presents architectures and platforms for end-to-end security, including their implementation based on the edge/fog computing paradigm. It also highlights machine learning techniques that boost the automation and proactiveness of IoT security risk assessments. Furthermore, blockchain solutions for open and transparent sharing of IoT security information across the supply chain are introduced. Frameworks for privacy awareness, along with technical measures that enable privacy risk assessment and boost GDPR compliance are also presented. Likewise, the book illustrates novel solutions for security certification of IoT systems, along with techniques for IoT security interoperability. In the coming years, IoT security will be a challenging, yet very exciting journey for IoT stakeholders, including security experts, consultants, security research organizations and IoT solution providers. The book provides knowledge and insights about where we stand on this journey. It also attempts to develop a vision for the future and to help readers start their IoT Security efforts on the right foot.

Discussions about the IoT generally go in one of two directions: we're either headed for a rosy future or a dystopia. Whatever the impact, it's bound to be big with an estimated 25 billion networked devices coming online by 2020. In this insightful book, author Sean Smith explains that if we build the IoT the way we built the current Internet, we're headed for trouble. He offers concrete answers rather than questions and fear. This is not the first time that information technology has taken quantum leaps into new territory. Smith, who began working in information security long before the Web, provides several examples of past forays into the future that went wrong because of simple flaws. You'll explore what he calls "design patterns of insecurities" and what developers, engineers, industrial designers, makers, and researchers can do to avoid or fix them in the nascent IoT. Examine bugs that plague large-scale systems, including integer overflow, race conditions, and memory corruption Look at successful and disastrous examples of previous quantum leaps in health IT, the (already) smart grid, and autonomous vehicles Explore patterns in coding, authentication, and cryptography that led to insecurity Learn suggestions for fixing blunders that led to spectacular IT disasters

As internet use is extending to younger children, there is an increasing need for research focus on the risks young users are experiencing, as well as the opportunities, and how they should cope. With expert contributions from diverse disciplines and a uniquely cross-national breadth, this timely book examines the prospect of enhanced opportunities for learning, creativity and communication set against the fear of cyberbullying, pornography and invaded privacy by both strangers and peers. Based on an impressive in-depth survey of 25,000 children carried out by the EU Kids Online network, it offers wholly new findings that extend previous research and counter both the optimistic and the pessimistic hype. It argues that, in the main, children are gaining the digital skills, coping strategies and social support they need to navigate this fast-changing terrain. But it also identifies the struggles they encounter, pinpointing those for whom harm can follow from risky online encounters. Each chapter presents new findings and analyses to inform both researchers and students in the social sciences and policy makers in government, industry or child welfare who are working to enhance children's digital experiences.

As the number of digital devices used in daily life grows, it comes as no surprise that the next step in technological evolution is to conveniently interconnect these devices. This is where the Internet of Things fits in. The Internet of Things refers to all devices that are connected to the internet and share data on it, but there are numerous applications for this technology, ranging from smartphones to driverless cars. Despite the convenience smart devices offer, they also raise significant concerns about data privacy and security. Readers will encounter contrasting viewpoints on this timely and evolving issue.

Blockchain technology allows value exchange without the need for a central authority and ensures trust powered by its decentralized architecture. As such, the growing use of the internet of things (IoT) and the rise of artificial intelligence (AI) are to be benefited immensely by this technology that can offer devices and applications data security, decentralization, accountability, and reliable authentication. Bringing together blockchain technology, AI, and IoT can allow these tools to complement the strengths and weaknesses of the others and make systems more efficient. Multidisciplinary Functions of Blockchain Technology in AI and IoT Applications deliberates upon prospects of blockchain technology using AI and IoT devices in various application domains. This book contains a comprehensive collection of chapters on machine learning, IoT, and AI in areas that include security issues of IoT, farming, supply chain management, predictive analytics, and natural languages processing. While highlighting these areas, the book is ideally intended for IT industry professionals, students of computer science and software engineering, computer scientists, practitioners, stakeholders, researchers, and academicians interested in updated and advanced research surrounding the functions of blockchain technology in AI and IoT applications across diverse fields of research.

Provides comprehensive coverage of the current state of IoT, focusing on data processing infrastructure and techniques Written by experts in the field, this book addresses the IoT technology stack, from connectivity through data platforms to end-user case studies, and considers the tradeoffs between business needs and data security and privacy throughout. There is a particular emphasis on data processing technologies that enable the extraction of actionable insights from data to inform improved decision making. These include artificial intelligence techniques such as stream processing, deep learning and knowledge graphs, as well as data interoperability and the key aspects of privacy, security and trust. Additional aspects covered include: creating and supporting IoT ecosystems; edge computing; data mining of sensor datasets; and crowd-sourcing, amongst others. The book also presents several sections featuring use cases across a range of application areas such as smart energy, transportation, smart factories, and more. The book concludes with a chapter on key considerations when deploying IoT technologies in the enterprise, followed by a brief review of future research directions and challenges. The Internet of Things: From Data to Insight Provides a comprehensive overview of the Internet of Things technology stack with focus on data driven aspects from data modelling and processing to presentation for decision making Explains how IoT technology is applied in practice and the benefits being delivered. Acquaints readers that are new to the area with concepts, components, technologies, and verticals related to and enabled by IoT Gives IoT specialists a deeper insight into data and decision-making aspects as well as novel technologies and application areas Analyzes and presents important emerging technologies for the IoT arena Shows how different objects and devices can be connected to decision making processes at various levels of abstraction The Internet of Things: From Data to Insight will appeal to a wide audience, including IT and network specialists seeking a broad and complete understanding of IoT, CIOs and CIO teams, researchers in IoT and related fields, final year undergraduates, graduate students, post-graduates, and IT and science media professionals.