The Cyber Risk Handbook is the practitioner's guide to implementing, measuring and improving the counter-cyber capabilities of the modern enterprise. The first resource of its kind, this book provides authoritative guidance for real-world...

If you don’t already use Wireshark for a wide range of information security tasks, you will after this book. Mature and powerful, Wireshark is commonly used to find root cause of challenging network issues. This book extends that power to information security...

This book...

• Learning DevOps, container, and Kubernetes within one book.
• Leverage Kubernetes as a platform to deploy, scale, and run containers efficiently.
• A practical guide towards container management and...

Spring REST is a practical guide for designing and developing RESTful APIs using the Spring Framework. This book walks you through the process of designing and building a REST application while taking a deep dive into design principles and best practices for versioning, security, documentation, error handling, paging, and...

This is an introductory to intermediate level text on the scienceof image processing, which employs the Matlab programming languageto illustrate some of the elementary, key concepts in modern imageprocessing and pattern recognition. The approach taken isessentially practical and the book offers a framework within whichthe concepts can be...

Inspired by the groundbreaking A History of the World in 100 Objects, this book draws on the unique collections of The Strong museum in Rochester, New York, to chronicle the evolution of video games, from Pong to first-person shooters, told through the stories of dozens of objects essential to the field’s creation and...

Covering theory, algorithms, and methodologies, as well as data mining technologies, Data Mining for Bioinformatics provides a comprehensive discussion of data-intensive computations used in data mining with applications in bioinformatics. It supplies a broad, yet in-depth, overview of the application domains of data mining...

Large-scale data analysis is now vitally important to virtually every business. Mobile and social technologies are generating massive datasets;...