 Название: Math for Security: From Graphs and Geometry to Spatial Analysis
Автор: Daniel Reilly
Издательство: No Starch Press
Год: 2023
Страниц: 314
Язык: английский
Формат: True/Retail PDF EPUB
Размер: 19.2 MB
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!
Who Should Read This Book?
Often, when I begin a discussion about applied mathematics in security, people say something along the lines of “but I don’t work on encryption,” which tells me many security practitioners misunderstand the role math plays in their day-to-day activities. The truth is, applied mathematics is at the heart of every modern security automation tool, not just cryptographic tools. My hope is that anyone with an interest in security and some Python programming experience will find something fun and informative in these projects. If you know enough Python to install and import packages, read and write files, and manage basic networking tasks, you should be set. You don’t need a deep understanding of math to follow along, since we’ll break down the formulas as we use them. If the title of the book caught your attention, chances are you’re one of the people who should read this book!
Covers Python 3.x.
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