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Applied Math for Security: A Pythonic Introduction to Graph Theory and Computational Geometry
Daniel Reilly
Paperback. No Starch Press 2023-09-01.
ISBN 9781718502567
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Buy from Amazon.co.uk
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Publisher description
Use applied math to map fire stations, develop facial recognition software, protect an art gallery and more in this hands-on, real-world infosec book. Applied Math for Security 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. The book is written in a lively, conversational style that engages readers from the get-go. Chapters are enriched with code examples written in Python, and feature hands-on “proof of concept” projects that involve developing math-based applications to solve real-world problems. Readers are also able to apply the mathematical constructs that they learn to a variety of challenging scenarios, like determining the ideal location for fire stations, disrupting information flow in a social network, building facial recognition software, and designing custom tools for modern security work
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Applied Math for Security: A Pythonic Introduction to Graph Theory and Computational Geometry
Book reviews » Applied Math for Security: A Pythonic Introduction to Graph Theory and Computational Geometry
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