When there is a disease outbreak, as is often the case in apocalyptic movies, the first person infected is referred to as patient zero. One moment you are minding your own business cleaning the cage of a genetically modified monkey, the next you are a zombie infecting humanity with your sickness as armageddon ensues. So it goes.What would be the utopian equivalent of patient zero? If one person can trigger an epidemic, could a single person also transform the world for the better? Someone like that would have to see the world differently, to think differently, and behave in ways that would surprise us. User Zero is a journey inside your minds to find that long-lost world-altering ability.

This book gathers the proceedings of the 10th International Conference on Frontier Computing, held in Singapore, on July 10–13, 2020, and provides comprehensive coverage of the latest advances and trends in information technology, science, and engineering. It addresses a number of broad themes, including communication networks, business intelligence and knowledge management, web intelligence, and related fields that inspire the development of information technology. The respective contributions cover a wide range of topics: database and data mining, networking and communications, web and Internet of things, embedded systems, soft computing, social network analysis, security and privacy, optical communication, and ubiquitous/pervasive computing. Many of the papers outline promising future research directions, and the book benefits students, researchers, and professionals alike. Further, it offers a useful reference guide for newcomers to the field.

This book constitutes the thoroughly refereed proceedings of the 27th International Conference on Computer Networks, CN 2020, held in June 2020. Due to the COVID-19 pandemic the conference was held virtually. The 14 full papers presented were carefully reviewed and selected from 34 submissions. They are organized according to the topical sections on computer networks; cybersecurity and quality of service; queueing theory and queueing networks.

Many of the security counter measures being leveraged by businesses today simply address the past (trust then verify). These tools advise and protect when issues are detected, then the problems can be addressed. There is often a time lag from identification, addressing the issues, and resolving the actual issues. To understand the overall state of security in an organization there are a considerable number of tools required. For the most part, each of these tools have an application agent to be deployed. The result is often a “one of everything” approach. Zero Trust is a framework not a solution. Zero Trust is a part of an ongoing continuous process improvement plan, and should evolve with the times to deliver true security to an organization. The common thread is the ability to identify known vectors of end user satisfaction or organizational risk to address issues. The comment about “known” vectors is the key - security counter measures can only respond to what is known and understood at a particular moment in time. Risk is a very straightforward concept. Risk is either real or not. Closed Loop Lifecycle Planning© in its research called The Risk Cycle© concluded that risk does not have a “gray” area - something is either a risk or not. Our book has challenged the assumption that there is such a thing as “reasonable risk”. The theory of reasonable risk is that businesses and organizations make a conscious decision that a risk is reasonable to take, and then accepts the exposure. Zero Trust would argue that the approach itself is not reasonable.

We have telephony to talk to each other, messaging to dispatch mail or instant messages, browsing to read published content and search engines to locate content sites. However, current mobile networks do not provide the possibility for one application rich terminal to communicate with another in a peer-to-peer session beyond voice calls. Mobile telephony with the current technology has been hugely successful and shows that there is immense value in communicating with peers while being mobile, and with increasingly available smarter multimedia terminals the communication experience will be something more than just exchanging voice. Those multimedia terminals need IP multimedia networks. Hence, the Third Generation Partnership Project (3GPP) has developed a standard for SIP based IP multimedia service machinery known as 'The IMS (IP Multimedia Subsystem)' and this informative book explains everything you need to know about it......... Presents the architecture and functionality of logical elements of IMS and their interfaces providing detailed description of how elements are connected, what protocols are used and how they are used Explains how the optimisation and security of the mobile communication environment has been designed in the form of user authentication and authorisation based on mobile identities Illustrates how optimisation at the radio interface is achieved using specific rules at the user to network interface. This includes signalling compression mechanisms as well as security and policy control mechanisms, allowing radio loss and recovery detection Addresses important aspects from an operator's point of view while developing architecture such as charging framework, policy and service control Describes many services on top of IMS in detail, including voice, presence, messaging and conferencing. Written in a manner that allows readers to choose the level of knowledge and understanding they need to gain about the IMS, this volume will have instant appeal to a wide audience ranging from marketing managers, research and development engineers, network engineers, developers, test engineers to university students.

Use Product Analytics to Understand Consumer Behavior and Change It at Scale Product Analytics is a complete, hands-on guide to generating actionable business insights from customer data. Experienced data scientist and enterprise manager Joanne Rodrigues introduces practical statistical techniques for determining why things happen and how to change what people do at scale. She complements these with powerful social science techniques for creating better theories, designing better metrics, and driving more rapid and sustained behavior change. Writing for entrepreneurs, product managers/marketers, and other business practitioners, Rodrigues teaches through intuitive examples from both web and offline environments. Avoiding math-heavy explanations, she guides you step by step through choosing the right techniques and algorithms for each application, running analyses in R, and getting answers you can trust. Develop core metrics and effective KPIs for user analytics in any web product Truly understand statistical inference, and the differences between correlation and causation Conduct more effective A/B tests Build intuitive predictive models to capture user behavior in products Use modern, quasi-experimental designs and statistical matching to tease out causal effects from observational data Improve response through uplift modeling and other sophisticated targeting methods Project business costs/subgroup population changes via advanced demographic projection Whatever your product or service, this guide can help you create precision-targeted marketing campaigns, improve consumer satisfaction and engagement, and grow revenue and profits. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Get valuable insights from your data by building data analysis systems from scratch with R. About This Book A handy guide to take your understanding of data analysis with R to the next level Real-world projects that focus on problems in finance, network analysis, social media, and more From data manipulation to analysis to visualization in R, this book will teach you everything you need to know about building end-to-end data analysis pipelines using R Who This Book Is For If you are looking for a book that takes you all the way through the practical application of advanced and effective analytics methodologies in R, then this is the book for you. A fundamental understanding of R and the basic concepts of data analysis is all you need to get started with this book. What You Will Learn Build end-to-end predictive analytics systems in R Build an experimental design to gather your own data and conduct analysis Build a recommender system from scratch using different approaches Use and leverage RShiny to build reactive programming applications Build systems for varied domains including market research, network analysis, social media analysis, and more Explore various R Packages such as RShiny, ggplot, recommenderlab, dplyr, and find out how to use them effectively Communicate modeling results using Shiny Dashboards Perform multi-variate time-series analysis prediction, supplemented with sensitivity analysis and risk modeling In Detail R offers a large variety of packages and libraries for fast and accurate data analysis and visualization. As a result, it's one of the most popularly used languages by data scientists and analysts, or anyone who wants to perform data analysis. This book will demonstrate how you can put to use your existing knowledge of data analysis in R to build highly efficient, end-to-end data analysis pipelines without any hassle. You'll start by building a content-based recommendation system, followed by building a project on sentiment analysis with tweets. You'll implement time-series modeling for anomaly detection, and understand cluster analysis of streaming data. You'll work through projects on performing efficient market data research, building recommendation systems, and analyzing networks accurately, all provided with easy to follow codes. With the help of these real-world projects, you'll get a better understanding of the challenges faced when building data analysis pipelines, and see how you can overcome them without compromising on the efficiency or accuracy of your systems. The book covers some popularly used R packages such as dplyr, ggplot2, RShiny, and others, and includes tips on using them effectively. By the end of this book, you'll have a better understanding of data analysis with R, and be able to put your knowledge to practical use without any hassle. Style and approach This book takes a unique, learn-as-you-do approach, as you build on your understanding of data analysis progressively with each project. This book is designed in a way that implementing each project will empower you with a unique skill set, and enable you to implement the next project more confidently.

Life had always been fairly normal for Max Carter. Well, fairly normal for an orphan who had been raised by hippy grandparents. All he wants for his 13th birthday is a phone or maybe a laptop, like all his friends, but the Olds aren't really the type to buy either for him. Imagine his surprise then when his other Grandparents show up, and bring him a lot more than he expected. Not only does he have a phone, and a laptop, but he gets a present from his parents that is going to change his life, forever. This is the first book in a new series that mixes humour and fantasy with computer science, written by British Indie SF Author CJ Moseley especially for younger readers.

"An award-winning videogame writer offers a rare behind-the-scenes look inside the gaming industry, and expands on how games are transformed from mere toys into meaningful, artistic experiences"--