In this statistically-inclined edition for the Exploring Information Security podcast, I talk with Bob Rudis co-author of Data Driven Security to answer the questions: "What is data driven security?"
I recently read Data Driven Security: Analysis, Visualization and Dashboards by Jay Jacobs (@jayjacobs) and Bob Rudis (@hrbrmstr). The book is easy to read and a very good introduction into the world of data and security. Both Jay and Bob were kind with their time when I had questions about exercises in the books. After reading the book I decided to have Bob on to talk more about data driven security.
Bob Rudis is also a contributor to the Verizon DBIR and these projects below:
- Data Driven Security which features the book, a blog (@DDSecBlog), and a podcast (@ddsecpodcast).
- Open Source R Tools For The Cybersecurity Domain
- SecRepo.com - Samples of Security Related Data
- MLSec - Machine Learning Security
In this episode we discuss:
- What is data driven security?
- The benefits of data driven security
- How it should be implemented
- Where it can be applied
Bob also gave me a long list of resources for those looking to get into data-driven security:
- The Elements of Statistical Learning: data Mining, Inference, and Prediciton, Second Edition by Trevor Hastie, Robert Tibshirani, and Jerome Friedman.
- Data Science Specialization - Coursera
- Author Edward R. Tufte
- Author Stephen Few
- Linear Digressions podcast