Data-Driven Security: Analysis, Visualization and Dashboards

by Jay Jacobs, Bob Rudis

Uncover hidden patterns of data and respond with countermeasures Security professionals need all the tools at their disposal to increase their visibility in order to prevent security breaches and attacks. This careful guide explores two of the most powerful ? data analysis and visualization. You'll soon understand how to harness and wield data, from collection and storage to management and analysis as well as visualization and presentation. Using a hands-on approach with real-world examples, this book shows you how to gather feedback, measure the effectiveness of your security methods, and make better decisions. Everything in this book will have practical application for information security professionals. Helps IT and security professionals understand and use data, so they can thwart attacks and understand and visualize vulnerabilities in their networks Includes more than a dozen real-world examples and hands-on exercises that demonstrate how to analyze security data and intelligence

Genres: Reference, Technology, Technical, Nonfiction

352 pages, Paperback

First published January 1, 2014

Reviews

[Peter Zvirinsky · Rating 1 out of 5]

I have seen this book referenced a couple of times as "the" book about how data science/ML can be applied in the security field. However, after reading it, I have to say I don't understand who is this book for. Because if you are a data scientist, this book will not be enough to get you going in the security field and vice versa, if you are a security person, you will not learn how to do data science from this book.

I appreciate the introduction; it is very well written, and succinctly states the arguments for why data-driven decision making is important for the security field. It even provides a nice quick historical context for the ML & stats fields for the layman. However, starting chapter number two, it is only worth skimming through, there is just not enough information to make it worthwhile. The most valuable are perhaps the materials referenced at the end of every chapter.

[Billford · Rating 4 out of 5]

Good overview at building data into infosec decisions

I liked the build up structure of the book and the way it showed how you would use some of the examples in real life. I would've liked a little more explanation behind why you would use one statistical model over another but overall very nicely done.

[Andre · Rating 4 out of 5]

The future of Infoseek lies in this direction. A must read if you don't want to miss the boat. I know where to take my team in 2016-17.

[Delhi Irc]

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