Math for security : from graphs and geometry to spatial analysis

Reilly, Daniel (Security researcher), author.

Book 2023

"A math-based guide for information security practitioners. Teaches how to use concepts from various fields of mathematics, such as graph theory, computational geometry, and statistics, to create and implement ready-to-use security tools. Features code examples in Python and hands-on proof-of-concept projects for solving real-world problems"-- Provided by publisher.

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Explore Topics & Themes:

Data protection Mathematical models

Data protection Mathematics

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ISBN:

9781718502567

Description:

xxii, 288 pages : illustrations ; 24 cm

Notes:

Includes bibliographical references (pages 269-273) and index

Contents:

Setting up the environment
Programming and math conventions
Securing network and graph theory
Building a network traffic analysis tool
Identifying threats with social network analysis
Analyzing social networks to prevent security incidents
Using geometry to improve security practices
Tracking people in physical space with digital information
Computational geometry for safety resource distribution
Computational geometry for facial recognition
Distributing security resources to guard a space
The minimum viable product approach to security software development
Delivering Python applications

LCCN:

2023002853

Control Number:

3267462

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