IoT Security Issues looks at the burgeoning growth of devices of all kinds controlled over the Internet of all varieties, where product comes first and security second. In this case, security trails badly. This book examines the issues surrounding these problems, vulnerabilities, what can be done to solve the problem, investigating the stack for the roots of the problems and how programming and attention to good security practice can combat the problems today that are a result of lax security processes on the Internet of Things. This book is for people interested in understanding the vulnerabilities on the Internet of Things, such as programmers who have not yet been focusing on the IoT, security professionals and a wide array of interested hackers and makers. This book assumes little experience or knowledge of the Internet of Things. To fully appreciate the book, limited programming background would be helpful for some of the chapters later in the book, though the basic content is explained. The author, Alasdair Gilchrist, has spent 25 years as a company director in the fields of IT, Data Communications, Mobile Telecoms and latterly Cloud/SDN/NFV technologies, as a professional technician, support manager, network and security architect. He has project-managed both agile SDLC software development as well as technical network architecture design. He has experience in the deployment and integration of systems in enterprise, cloud, fixed/mobile telecoms, and service provider networks. He is therefore knowledgeable in a wide range of technologies and has written a number of books in related fields.
Examining the modern origins of artificial intelligence, this book explores issues of what it means to be man or machine and looks at advances in robotics which have blurred the boundaries.
Concentrating on the ´nuts and bolts´ of writing ray tracing programs, this book emphasizes practical and implementation issues and takes the reader through the details needed to write a modern rendering system.
The study of multi-agent systems (MAS) focuses on systems in which many intelligent agents interact with each other. These agents are considered to be autonomous entities such as software programs or robots. Their interactions can either be cooperative (for example as in an ant colony) or selfish (as in a free market economy). This book assumes only basic knowledge of algorithms and discrete maths, both of which are taught as standard in the first or second year of computer science degree programmes. A basic knowledge of artificial intelligence would useful to help understand some of the issues, but is not essential. The book´s main aims are: * To introduce the student to the concept of agents and multi-agent systems, and the main applications for which they are appropriate * To introduce the main issues surrounding the design of intelligent agents * To introduce the main issues surrounding the design of a multi-agent society * To introduce a number of typical applications for agent technology After reading the book the student should understand: * The notion of an agent, how agents are distinct from other software paradigms (e.g. objects) and the characteristics of applications that lend themselves to agent-oriented software * The key issues associated with constructing agents capable of intelligent autonomous action and the main approaches taken to developing such agents * The key issues in designing societies of agents that can effectively cooperate in order to solve problems, including an understanding of the key types of multi-agent interactions possible in such systems * The main application areas of agent-based systems
Think, ´´Kanban in a box.? Imagine you ordered Kanban for your team, and got the box delivered to your door. You open the box and right on top is a quick-start guide. Being a novice, you follow the guide, and quickly get up and running. As you become more experienced, the other box contents address common advanced issues you´d face, like right-sizing teams, estimation, hitting deadlines, transitioning from Scrum or Waterfall, deploying components and services, and using Kanban within larger organizations.
The Scrum Field Guide will give students skills and confidence to learn Scrum rapidly and successfully. Long-time Scrum practitioner Mitch Lacey identifies major challenges associated with early-stage Scrum adoption, as well as deeper issues that emerge after companies have adopted Scrum, and describes how other organizations have overcome them. Students will learn how to gain ´´quick wins? that build support, and then use the flexibility of Scrum to maximize value creation across the entire process.
The philosophy of computer science is concerned with issues that arise from reflection upon the nature and practice of the discipline of computer science. This book presents an approach to the subject that is centered upon the notion of computational artefact . It provides an analysis of the things of computer science as technical artefacts. Seeing them in this way enables the application of the analytical tools and concepts from the philosophy of technology to the technical artefacts of computer science. With this conceptual framework the author examines some of the central philosophical concerns of computer science including the foundations of semantics, the logical role of specification, the nature of correctness, computational ontology and abstraction, formal methods, computational epistemology and explanation, the methodology of computer science, and the nature of computation. The book will be of value to philosophers and computer scientists.
The present volume aims to provide an overview of the current understanding of the so-called Critical Infrastructure (CI), and particularly the Critical Information Infrastructure (CII), which not only forms one of the constituent sectors of the overall CI, but also is unique in providing an element of interconnection between sectors as well as often also intra-sectoral control mechanisms. The 14 papers of this book present a collection of pieces of scientific work in the areas of critical infrastructure protection. In combining elementary concepts and models with policy-related issues on one hand and placing an emphasis on the timely area of control systems, the book aims to highlight some of the key issues facing the research community.