Math For Security: From Graphs and Geometry to Spatial Analysis

Author:   Daniel Reilly
Publisher:   No Starch Press,US
ISBN:  

9781718502567


Pages:   312
Publication Date:   24 October 2023
Format:   Paperback
Availability:   To order   Availability explained
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

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Math For Security: From Graphs and Geometry to Spatial Analysis


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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 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

Full Product Details

Author:   Daniel Reilly
Publisher:   No Starch Press,US
Imprint:   No Starch Press,US
Weight:   0.369kg
ISBN:  

9781718502567


ISBN 10:   1718502567
Pages:   312
Publication Date:   24 October 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   To order   Availability explained
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

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Reviews

"""A really nice introduction to graph theory and computational geometry for people who know a bit of Python and without a mathematical background."" —Julien Voisin, Artificial Truth ""This book is phenomenal . . . It’s absolutely highly recommended reading material for any corporation or any individual wanting to level up their cybersecurity knowledge mathematically."" —Moshe, @ChiefGyk3D, Tiktok Tech and Cybersecurity Reviewer"


"""A very practical book for security. . . . a real eye-opener."" —William Gasarch, Professor, University of Maryland-Dept of Computer Science ""A really nice introduction to graph theory and computational geometry for people who know a bit of Python and without a mathematical background."" —Julien Voisin, Artificial Truth ""The book was very easy to follow, I'd expect anyone with a technical or stats background to be able to dive right in given the step-by-step instructions and explanations provided by Daniel."" —@WithSandra, tech YouTuber and security analyst ""Whether you're an aspiring security professional, a social network analyst, or an innovator seeking to create cutting-edge security solutions, Math for Security will empower you to solve complex problems with precision and confidence. "" —Midwest Book Review"


"""A really nice introduction to graph theory and computational geometry for people who know a bit of Python and without a mathematical background."" —Julien Voisin, Artificial Truth"


Author Information

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.

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