November 2023 MBR The Mathematics Shelf

The Mathematics Shelf

Math for Security
Daniel Reilly
No Starch Press
www.nostarch.com
9781718502567, $49.99, PB, 312pp

https://www.amazon.com/Applied-Math-Security-Introduction-Programmers/dp/1718502567

Synopsis: "Math for Security: From Graphs and Geometry to Spatial Analysis" 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 final chapters, you will 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 laid out in "Math for Security", you will: 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, "Math for Security" will empower you to solve complex problems with precision and confidence. Embrace the intricate world of math as your secret weapon in computer security!

Critique: "Math for Security: From Graphs and Geometry to Spatial Analysis" covers Python 3.x, and is fundamental to learning how to utilize mathematics with respect to maximizing computer security. While also available for personal DIY training in a digital book format (Kindle, $29.99), Daniel Reilloy's "Math for Security: From Graphs and Geometry to Spatial Analysis" from No Starch Press is a welcome and essential addition to personal, professional, community, and college/university library Computer Science & Computer Security collections and supplemental curriculum studies lists.

Editorial Note: 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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