Computer Science & Software Engineering: Find Books & eBooks

The Internet of Things is a technological revolution that represents the future of computing and communications. Even though efforts have been made to standardize Internet of Things devices and how they communicate with the web, a uniform architecture is not followed. This inconsistency directly impacts and limits security standards that need to be put in place to secure the data being exchanged across networks. Cryptographic Security Solutions for the Internet of Things is an essential reference source that discusses novel designs and recent developments in cryptographic security control procedures to improve the efficiency of existing security mechanisms that can help in securing sensors, devices, networks, communication, and data in the Internet of Things. With discussions on cryptographic algorithms, encryption techniques, and authentication procedures, this book is ideally designed for managers, IT consultants, startup companies, ICT procurement managers, systems and network integrators, infrastructure service providers, students, researchers, and academic professionals.

Technology and organizations co-evolve, as is illustrated by the growth of information and communication technology (ICT) and global software engineering (GSE). Technology has enabled the development of innovations in GSE. The literature on GSE has emphasized the role of the organization at the expense of technology. This book explores the role of technology in the evolution of globally distributed software engineering. To date, the role of the organization has been examined in coordinating GSE activities because of the prevalence of the logic of rationality (i.e., the efficiency ethos, mechanical methods, and mathematical analysis) and indeterminacy (i.e., the effectiveness ethos, natural methods, and functional analysis). This logic neglects the coordination role of ICT. However, GSE itself is an organizational mode that is technology-begotten, technology-dominated, and technology-driven, as is its coordination. GSE is a direct reflection of ICT innovation, change, and use, yet research into the role technology of GSE has been neglected. Global Software Engineering: Virtualization and Coordination considers existing fragmented explanations and perspectives in GSE research, poses new questions about GSE, and proposes a framework based on the logic of virtuality (i.e., creativity ethos, electrical methods, and technological analysis) rather than of rationality and indeterminacy. Virtuality is the primary perspective in this book's comprehensive study of GSE. The book concludes with an integrated explanation of GSE coordination made possible through ICT connectivity and capitalization.

Virtual environments (VE) are human-computer interfaces in which the computer creates a sensory-immersing environment that interactively responds to and is controlled by the behaviour of the user. Since these technologies will continue to become more reliable, more resolute and more affordable, it's important to consider the advantages that VEs may offer to support business processes.

A practical introduction to Java programming--fully revised for long-term support release Java SE 11 Thoroughly updated for Java Platform Standard Edition 11, this hands-on resource shows, step by step, how to get started programming in Java from the very first chapter. Written by Java guru Herbert Schildt, the book starts with the basics, such as how to create, compile, and run a Java program. From there, you will learn essential Java keywords, syntax, and commands.  Java: A Beginner's Guide, Eighth Edition covers the basics and touches on advanced features, including multithreaded programming, generics, Lambda expressions, and Swing. Enumeration, modules, and interface methods are also clearly explained. This Oracle Press guide delivers the appropriate mix of theory and practical coding necessary to get you up and running developing Java applications in no time. *Clearly explains all of the new Java SE 11 features *Features self-tests, exercises, and downloadable code samples *Written by bestselling author and leading Java authority Herbert Schildt

Security for Software Engineers is designed to introduce security concepts to undergraduate software engineering students. The book is divided into four units, each targeting activities that a software engineer will likely be involved in within industry. The book explores the key areas of attack vectors, code hardening, privacy, and social engineering. Each topic is explored from a theoretical and a practical-application standpoint. Features: Targets software engineering students - one of the only security texts to target this audience. Focuses on the white-hat side of the security equation rather than the black-hat side. Includes many practical and real-world examples that easily translate into the workplace. Covers a one-semester undergraduate course. Describes all aspects of computer security as it pertains to the job of a software engineer and presents problems similar to that which an engineer will encounter in the industry. This text will equip students to make knowledgeable security decisions, be productive members of a security review team, and write code that protects a user¿s information assets.

Harness the power of social media to predict customer behavior and improve sales Social media is the biggest source of Big Data. Because of this, 90% of Fortune 500 companies are investing in Big Data initiatives that will help them predict consumer behavior to produce better sales results. Social Media Data Mining and Analytics shows analysts how to use sophisticated techniques to mine social media data, obtaining the information they need to generate amazing results for their businesses. Social Media Data Mining and Analytics isn't just another book on the business case for social media. Rather, this book provides hands-on examples for applying state-of-the-art tools and technologies to mine social media - examples include Twitter, Wikipedia, Stack Exchange, LiveJournal, movie reviews, and other rich data sources. In it, you will learn: The four key characteristics of online services-users, social networks, actions, and content The full data discovery lifecycle-data extraction, storage, analysis, and visualization How to work with code and extract data to create solutions How to use Big Data to make accurate customer predictions How to personalize the social media experience using machine learning Using the techniques the authors detail will provide organizations the competitive advantage they need to harness the rich data available from social media platforms.