Applied Math for Security: A Pythonic Introduction to Graph Theory and Computational Geometry
Daniel Reilly
Résumé
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.
Caractéristiques techniques
PAPIER | |
Éditeur(s) | No Starch Press |
Auteur(s) | Daniel Reilly |
Parution | 18/09/2023 |
Nb. de pages | 256 |
EAN13 | 9781718502567 |
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