Wherever math beyond high school algebra is needed, Network Security, 3rd Edition covers what students and other readers need to know, making it a self-contained solution suitable for undergraduate students, graduate students, and working engineers alike. To support learning and mastery, it also includes extensive homework problems, fully updated to reflect current concepts and technologies.

This guide uncovers the technology behind network security: its strengths, weaknesses, past, and futur...

175+ Cybersecurity Misconceptions and the Myth-Busting Skills You Need to Correct Them

Elected into the Cybersecurity Canon Hall of Fame!

Cybersecurity is fraught with hidden and unsuspected dangers and difficulties. Despite our best intentions, there are common and avoidable mistakes that arise from folk wisdom, faulty assumptions about the world, and our own human biases. Cybersecurity implementations, investigations, and research all suffer as a result. Many of the bad practices sound l...

Network Programmability and Automation, Volume 1, covers designing, implementing, monitoring and operating networks using programmable interfaces on network devices versus the legacy (and soon-to-be obsolete) methods and protocols such as the Command Line Interface (CLI) and Simple Network Management Protocol (SNMP). It discusses the protocols, tools, techniques and technologies upon which Network Programmability is based.

Covering the fundamentals that a network engineer needs to transition ...

Digital Forensics, Investigation, and Response, Fourth Edition begins by examining the fundamentals of system forensics: what forensics is, an overview of computer crime, the challenges of system forensics, and forensics methods and labs. The second part of this book addresses the tools, techniques, and methods used to perform computer forensics and investigation. These include collecting evidence, investigating information hiding, recovering data, and scrutinizing email.

It also discusses ho...

This approachable introduction to doing data science in R provides step-by-step advice on using data science tools and statistical methods to carry out data analysis. Introducing the fundamentals of data science and R before moving into more advanced topics like Multilevel Models and Probabilistic Modelling with Stan, it builds knowledge and skills gradually.

CompTIA Network+ N10-008 Cert Guide contains proven study features that enable students to succeed on the exam the first time. Best-selling author and expert instructor Anthony Sequeira shares preparation hints and test-taking tips, helping students identify areas of weakness and improve both their conceptual knowledge and hands-on skills.

For courses in Image Processing and Computer Vision. Introduce your students to image processing with the industry's most prized text For 40 years, Image Processing has been the foundational text for the study of digital image processing. The book is suited for students at the college senior and first-year graduate level with prior background in mathematical analysis, vectors, matrices, probability, statistics, linear systems, and computer programming.

As in all earlier editions, the focus of...

This book considers the interplay between the affordances of technologies, the experiences and processes of technological systems, and the process of learning and adaptation by state actors as part of governance reform in China. It offers detailed studies of specific projects and applications that are automated or quasi-automated in organising and governing social, economic, and cultural lives in the world’s largest techno-authoritarian regime. Written by scholars from six countries across ...