Applied Math for Security: A Pythonic Introduction to Graph Theory and Computational Geometry (Paperback)

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Applied Math for Security: A Pythonic Introduction to Graph Theory and Computational Geometry By Daniel Reilly Cover Image
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Use applied math to map fire stations, develop facial recognition software, solve the art gallery problem and more in this hands-on, real-world infosec book.

This book is one of the first math-based guides specifically geared for information security practitioners. Readers will learn how to use concepts from various fields of mathematics—like graph theory, computational geometry, and statistics—to create and implement ready-to-use security tools. 

Written with a lively touch and full of engaging examples, every chapter is enriched with code examples written in Python and features practical proof-of-concept projects that involve developing math-based applications to solve real-world problems. Through the author’s practical, hands-on approach, you’ll quickly learn how to apply the mathematical constructs that you pick up throughout the book to a variety of challenging scenarios, like determining ideal locations for fire stations, disrupting information flow in a social network, building facial recognition software, and designing custom tools for modern security work.

About the Author

Daniel Reilly is a security researcher, analyst, and consultant based out of Seattle, WA. He has worked in the security field for 20 years, more than half of which has been spent developing and managing operational security for small businesses.
Product Details
ISBN: 9781718502567
ISBN-10: 1718502567
Publisher: No Starch Press
Publication Date: September 19th, 2023
Pages: 312
Language: English