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

De (autor): Daniel Reilly

Applied Math for Security: A Pythonic Introduction to Graph Theory and Computational Geometry - Daniel Reilly

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

De (autor): Daniel Reilly


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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276.42Lei

276.42Lei

345.53 Lei

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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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