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

By Daniel Reilly

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.

Explore the intersection of mathematics and computer security with this engaging and accessible guide.

Math for Security will equip you with essential tools to tackle complex security problems head on. All you need are some basic programming skills. Once you've set up your development environment and reviewed the necessary Python syntax and math notation in the early chapters, you'll dive deep into practical applications, leveraging the power of math to analyze networks, optimize resource distribution, and much more. In the book's final chapters, you'll take your projects from proof of concepts to viable applications and explore options for delivering them to end users.

As you work through various security scenarios, you'll:
Employ packet analysis and graph theory to detect data exfiltration attempts in a networkPredict potential targets and find weaknesses in social networks with Monte Carlo simulationsUse basic geometry and OpenCell data to triangulate a phone's location without GPSApply computational geometry to Voronoi diagrams for use in emergency service planningTrain a facial recognition system with machine learning for real-time identity verificationUse spatial analysis to distribute physical security features effectively in an art gallery
Whether you're an aspiring security professional, a social network analyst, or an innovator seeking to create cutting-edge security solutions, this book will empower you to solve complex problems with precision and confidence. Embrace the intricate world of math as your secret weapon in computer security

Covers Python 3.x

• Format: Paperback
• Language: English
• ISBN: 1718502567
• ISBN13: 9781718502567
• Release Date: October 2023
• Publisher: No Starch Press
• Length: 312 Pages
• Weight: 0.70 lbs.
• Dimensions: 0.8" x 7.6" x 9.6"