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Math for Security (From Graphs and Geometry to Spatial Analysis)

List Price: $49.99
SKU:
9781718502567
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  • Product Details

    Author:
    Daniel Reilly
    Format:
    Paperback
    Pages:
    312
    Publisher:
    No Starch Press (October 24, 2023)
    Language:
    English
    ISBN-13:
    9781718502567
    ISBN-10:
    1718502567
    Weight:
    20.9oz
    Dimensions:
    7.06" x 9.25" x 0.72"
    File:
    RandomHouse-PRH_Book_Company_PRH_PRT_Onix_full_active_D20260405T162751_155746722-20260405.xml
    Folder:
    RandomHouse
    List Price:
    $49.99
    Case Pack:
    22
    As low as:
    $38.49
    Publisher Identifier:
    P-RH
    Discount Code:
    A
    QuickShip:
    Yes
    Audience:
    General/trade
    Country of Origin:
    United States
    Pub Discount:
    65
    Imprint:
    No Starch Press
  • Overview

    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