Part of a course for the revised Cambridge First Certificate English examination. The course aims to provide a combination of motivating material and systematic development of language and exam skills, and consists of 12 topic-based units.

Part of a course for the revised Cambridge First Certificate English examination. The course aims to provide a combination of motivating material and systematic development of language and exam skills, and consists of 12 topic-based units.

Care and the City is a cross-disciplinary collection of chapters examining urban social spaces, in which caring and uncaring practices intersect and shape people’s everyday lives. While asking how care and uncare are embedded in the urban condition, the book focuses on inequalities in caring relations and the ways they are acknowledged, reproduced, and overcome in various spaces, discourses, and practices. This book provides a pathway for urban scholars to start engaging with approaches to conceptualize care in the city through a critical-reflexive analysis of processes of urbanization. It pursues a systematic integration of empirical, methodological, theoretical, and ethical approaches to care in urban studies, while overcoming a crisis-centered reading of care and the related ambivalences in care debates, practices, and spaces. These strands are elaborated via a conceptual framework of care and situated within broader theoretical debates on cities, urbanization, and urban development with detailed case studies from Europe, the Americas, and Asia. By establishing links to various fields of knowledge, this book seeks to systematically introduce debates on care to the interconnecting fields of urban studies, planning theory, and related disciplines for the first time.

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

Computer security is an ongoing process, a relentless contest between system administrators and intruders. A good administrator needs to stay one step ahead of any adversaries, which often involves a continuing process of education. If you're grounded in the basics of security, however, you won't necessarily want a complete treatise on the subject each time you pick up a book. Sometimes you want to get straight to the point. That's exactly what the new Linux Security Cookbook does. Rather than provide a total security solution for Linux computers, the authors present a series of easy-to-follow recipes--short, focused pieces of code that administrators can use to improve security and perform common tasks securely.The Linux Security Cookbook includes real solutions to a wide range of targeted problems, such as sending encrypted email within Emacs, restricting access to network services at particular times of day, firewalling a webserver, preventing IP spoofing, setting up key-based SSH authentication, and much more. With over 150 ready-to-use scripts and configuration files, this unique book helps administrators secure their systems without having to look up specific syntax. The book begins with recipes devised to establish a secure system, then moves on to secure day-to-day practices, and concludes with techniques to help your system stay secure.Some of the "recipes" you'll find in this book are: Controlling access to your system from firewalls down to individual services, using iptables, ipchains, xinetd, inetd, and more Monitoring your network with tcpdump, dsniff, netstat, and other tools Protecting network connections with Secure Shell (SSH) and stunnel Safeguarding email sessions with Secure Sockets Layer (SSL) Encrypting files and email messages with GnuPG Probing your own security with password crackers, nmap, and handy scripts This cookbook's proven techniques are derived from hard-won experience. Whether you're responsible for security on a home Linux system or for a large corporation, or somewhere in between, you'll find valuable, to-the-point, practical recipes for dealing with everyday security issues. This book is a system saver.

This book highlights the importance of security in the design, development and deployment of systems based on Software-Defined Networking (SDN) and Network Functions Virtualization (NFV), together referred to as SDNFV. Presenting a comprehensive guide to the application of security mechanisms in the context of SDNFV, the content spans fundamental theory, practical solutions, and potential applications in future networks. Topics and features: introduces the key security challenges of SDN, NFV and Cloud Computing, providing a detailed tutorial on NFV security; discusses the issue of trust in SDN/NFV environments, covering roots of trust services, and proposing a technique to evaluate trust by exploiting remote attestation; reviews a range of specific SDNFV security solutions, including a DDoS detection and remediation framework, and a security policy transition framework for SDN; describes the implementation of a virtual home gateway, and a project that combines dynamic security monitoring with big-data analytics to detect network-wide threats; examines the security implications of SDNFV in evolving and future networks, from network-based threats to Industry 4.0 machines, to the security requirements for 5G; investigates security in the Observe, Orient, Decide and Act (OODA) paradigm, and proposes a monitoring solution for a Named Data Networking (NDN) architecture; includes review questions in each chapter, to test the reader’s understanding of each of the key concepts described. This informative and practical volume is an essential resource for researchers interested in the potential of SDNFV systems to address a broad range of network security challenges. The work will also be of great benefit to practitioners wishing to design secure next-generation communication networks, or to develop new security-related mechanisms for SDNFV systems.