Math for Security

Daniel Reilly

ISBN 10: 1718502567 / ISBN 13: 9781718502567

Edité par No Starch Press,US, US, 2023

A propos de cet article

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.

N° de réf. du vendeur LU-9781718502567

Détails bibliographiques

• Titre: Math for Security
• Éditeur: No Starch Press,US, US
• Date de parution: 2023
• Langue: anglais
• ISBN à 10 chiffres: 1718502567
• ISBN à 13 chiffres: 9781718502567
• Reliure: Paperback
• État de l'article: New

A propos de ce titre

Synopsis

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 network
• Predict potential targets and find weaknesses in social networks with Monte Carlo simulations
• Use basic geometry and OpenCell data to triangulate a phone’s location without GPS
• Apply computational geometry to Voronoi diagrams for use in emergency service planning
• Train a facial recognition system with machine learning for real-time identity verification
• Use 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

À propos de l?auteur

Daniel Reilly is a security researcher, analyst, and consultant based out of Seattle, WA. He has worked in the security field for 20 years, more than half of which has been spent developing and managing operational security for small businesses.