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Math for security: from graphs and geometry to spatial analysis, daniel reilly

799 грн

Описание

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

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