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Bob Rudis

Jay Jacobs

Data-Driven Security: Analysis, Visualization and Dashboards 1st Edition

by Jay Jacobs (Author), Bob Rudis (Author)

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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 and translate that information into visualizations that make plain how to prevent attacks * Covers topics such as how to acquire and prepare security data, use simple statistical methods to detect malware, predict rogue behavior, correlate security events, and more * Written by a team of well-known experts in the field of security and data analysis Lock down your networks, prevent hacks, and thwart malware by improving visibility into the environment, all through the power of data and Security Using Data Analysis, Visualization, and Dashboards.

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ISBN-10

1118793722
ISBN-13

978-1118793725
Edition

1st
Publication date

February 24, 2014
Language

English
Dimensions

8.5 x 0.8 x 11 inches
Print length

352 pages

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Editorial Reviews

From the Inside Flap

A practical guide to securing your data and IT infrastructure

From safeguarding corporate data to keeping e-commerce transactions secure, today’s IT professionals are tasked with enormous and complex data security responsibilities. In Data-Driven Security, Jay Jacobs and Bob Rudis draw together three of the most important topics in IT—security, data analysis, and visualization—to present a real-world security strategy to defend your networks. Turning their backs on insufficient security based on hunches and best practices, the authors help you access the world of security data analysis and visualization, where real data drives security decisions, and they teach you to apply the principles of that security with real-world cases.

Develop an understanding of how to acquire, prepare, and visualize security data
Learn how to use the analytical and visualization tools in R and Python
Dissect IP addresses to find malicious activity
Map security data and learn statistical techniques to look for significant connections
Understand how visual communication works and how it can help you see and present your data clearly
Develop effective, informative security dashboards
Design analytical models to help you detect malicious behavior
Gain practical “how-to” knowledge from specific, real-world use cases detailing an array of data and network security scenarios

Visit the companion website at www.wiley.com/go/datadrivensecurity for additional information and resources

From the Back Cover

A practical guide to securing your data and IT infrastructure

From safeguarding corporate data to keeping e-commerce transactions secure, today’s IT professionals are tasked with enormous and complex data security responsibilities. In Data-Driven Security, Jay Jacobs and Bob Rudis draw together three of the most important topics in IT―security, data analysis, and visualization―to present a real-world security strategy to defend your networks. Turning their backs on insufficient security based on hunches and best practices, the authors help you access the world of security data analysis and visualization, where real data drives security decisions, and they teach you to apply the principles of that security with real-world cases.

Develop an understanding of how to acquire, prepare, and visualize security data
Learn how to use the analytical and visualization tools in R and Python
Dissect IP addresses to find malicious activity
Map security data and learn statistical techniques to look for significant connections
Understand how visual communication works and how it can help you see and present your data clearly
Develop effective, informative security dashboards
Design analytical models to help you detect malicious behavior
Gain practical “how-to” knowledge from specific, real-world use cases detailing an array of data and network security scenarios

Visit the companion website at www.wiley.com/go/datadrivensecurity for additional information and resources

Publisher ‏ : ‎ Wiley
Publication date ‏ : ‎ February 24, 2014
Edition ‏ : ‎ 1st
Language ‏ : ‎ English
Print length ‏ : ‎ 352 pages
ISBN-10 ‏ : ‎ 1118793722
ISBN-13 ‏ : ‎ 978-1118793725
Item Weight ‏ : ‎ 1.74 pounds
Dimensions ‏ : ‎ 8.5 x 0.8 x 11 inches
Best Sellers Rank: #1,247,832 in Books (See Top 100 in Books)
- #460 in Computer Networking (Books)
- #607 in Computer Networks, Protocols & APIs (Books)
- #2,396 in Computer Security & Encryption (Books)
Customer Reviews:
(50)

About the authors

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Bob Rudis
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Bob Rudis has nearly 30 years of experience using data to help defend global Fortune 100 companies and is presently V.P. of Data Science @ GreyNoise Intelligence where his team specializes in cutting-edge research on internet malicious activity and helping organizations defend themselves with power of data. He was formerly Chief Data Scientist @ Rapid7, and a Security Data Scientist & Managing Principal at Verizon, overseeing the team that produces the annual Data Breach Investigations Report. Bob is a serial tweeter (@hrbrmstr), avid blogger (rud.is/b), R (#rstats) avuncular, author (Data-Driven Security), speaker, and regular contributor to the open-source community (github.com/hrbrmstr).
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Jay Jacobs
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Jay Jacobs has over 15 years of experience within IT and information security with a focus on cryptography, risk, and data analysis. As a Senior Data Analyst on the Verizon RISK team, he is a co-author on their annual Data Breach Investigation Report and spends much of his time analyzing and visualizing security-related data. Jay is a co-founder of the Society of Information Risk Analysts and currently serves on the organization’s board of directors. He is an active blogger, a frequent speaker, a co-host on the Risk Science podcast and was co-chair of the 2014 Metricon security metrics/analytics conference. Jay can be found on twitter as @jayjacobs. He holds a bachelor’s degree in technology and management from Concordia University in Saint Paul, Minnesota, and a graduate certificate in Applied Statistics from Penn State.
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Customers find the book excellent for security professionals, with one noting it provides a good overview of building data into information security. They appreciate its informative content, with one customer highlighting its explanation of intelligence integration between security and business process owners.

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9 customers mention content, 9 positive, 0 negative

Customers find the book's content excellent, particularly for security professionals, with one customer noting it serves as the best answer to the security echo chamber.

Excellent advice in this book from someone who has a history in the field. Good to read, and easy to follow.Read more

A good book and worth the purchase. Use of open source is great and achieves many of the outcomes you needRead more

...Not only a great book but after the read support!!Read more

Excellent book for security professionals look to learn data security and many of the tools used today....Read more

7 customers mention informative, 6 positive, 1 negative

Customers find the book informative, with one review highlighting its comprehensive approach to integrating data into information security, while another mentions how it helps produce actionable risk analysis and integrates intelligence between security and business process owners.

...and data analytics, I found this book very approachable and informative....Read more

...Analyst, and others will be expected to use and produce actionable risk analysis, audit analysis and business intelligence integration between...Read more

...do a fantastic job at parsing the most important messages and examples from each book and seamlessly integrate it into an engaging read....Read more

...who want to learn more about security techniques and creating visualizations to analyze and explain what's happening in their systems.Read more

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Dennis Dow
Great book, well worth the time.
Reviewed in the United States on September 27, 2014
Format: PaperbackVerified Purchase

I purchased the book with the goal of applying "big data" techniques to information security. The book does deliver on that point. Also somewhat consistent with other books on big data, the discuss what data science is, and is not. Good explanation of the need but not exclusively so for statistics, programming, domain knowledge, and judgement. Some of the referenced external material was so good, I'd spend a full day just exploring the material they discussed.

The exercises are excellent. I had difficulty with both Chapter 8 and 9. Part of that is the version of Canopy Python I downloaded didn't support some of the packages they used. A shame because these were the two key chapters for me. The earlier version (2.7) do, so I'd recommend sticking with that. They list a large number of URLs in the book but that forces us to try typing those into a browser window. It would be nice if a resource were available with the book resources already available.

Edit to add: Bob Rudis took the time to tweet me and provide a URL to the very resources I was hoping for: http://datadrivensecurity.info/blog/pages/resources.html

Not only a great book but after the read support!!

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Bill Mathews
Good overview at building data into infosec decisions
Reviewed in the United States on March 16, 2016
Format: KindleVerified Purchase
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.

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2 people found this helpful

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R
Combines the best of all worlds
Reviewed in the United States on March 27, 2014
Format: PaperbackVerified Purchase
In the past 6 months I have read everything I could by Edward Tufte, Stephen Few, and Nathan Yau. I have read the collection of essays contained in "Beautiful Visualization", the heavy tome "Information Visualization" by Colin Ware, "Naked Statistics" by Charles Wheelan and many many more white papers. I am hardly an expert in the field of "Data Security Visualization" but I am at least very well read in the subject.

...saying that had this book been out when I started, I could have just read it instead. The authors do a fantastic job at parsing the most important messages and examples from each book and seamlessly integrate it into an engaging read. There is a little bit of a (dare I say) sales pitch about specific toolsets the authors are vested in, but that makes sense. That is why they are subject matter experts in the field. I cannot recommend this book enough to anyone who wants to start making sense of statistics and visualizations in the cyber security field. It is even a good book for people who are experts as it provides the "one stop shop" for many of the facts and lessons contained in the aforementioned bibliography.

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21 people found this helpful

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RobsReview
I'd buy these guys a drink to thank them for writing this book
Reviewed in the United States on July 6, 2014
Format: PaperbackVerified Purchase
As a newbie to both information security and data analytics, I found this book very approachable and informative. It also has a great list of additional reading to continue to build skills in everything from programming to data visualization. The authors have an amusing tone and style that makes me want think they'd be fun to have a drink with

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One person found this helpful

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JRV
Clearly written, beautifully designed
Reviewed in the United States on April 14, 2014
Format: PaperbackVerified Purchase
Although I'm not the target market for this book (I'm not an IT professional), I wanted to learn more about visualizations of data and Chapter 6 fit the bill. I think this book would be very useful to IT professionals who want to learn more about security techniques and creating visualizations to analyze and explain what's happening in their systems.

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5 people found this helpful

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Amazon Customer
Despite other reviews saying this book has nice color graphs
Reviewed in the United States on December 6, 2015
Format: PaperbackVerified Purchase
Despite other reviews saying this book has nice color graphs, the book in fact has greyscale graphs. This is very confusing when the legend says "blue" or "green". It essentially renders the main point of the book useless, namely, visualizing data analysis.

The second critical flaw with this printing is that the code examples are printed in greyscale where the comments are printed in such a light color of grey they are essentially invisible. It looks almost like a printer was running out of ink, except it only affects the code examples, thereby rendering the second point of this book useless since you can't see how to make the graphs they talk about.

I purchased using the link "Sold by Amazon", but to be honest this looks like it may either be a cheap on-demand printing or a knock-off print run. The spine and back are blank. The pages have an extra wide margin on them as if someone scanned in the original pages, and then sent it to a printer using the default print margins - resulting in TWO margins.

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Adric Net
Truly an important work in the field, but not as helpful to me as I'd liked
Reviewed in the United States on July 12, 2015
Format: KindleVerified Purchase
This is a fantastic book, but not quite right for where I am with statistics, programming and data science. I'll have to come back to it later.

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Valdez Ladd
Excellent book for security professionals look to learn data security and the tools - python, R project, ....
Reviewed in the United States on February 16, 2014
Format: KindleVerified Purchase
Excellent book for security professionals look to learn data security and many of the tools used today.

I am using it along with other data visualization book to learn this area of expertise.

IT Security Analyst, Intelligence Analyst, and others will be expected to use and produce actionable risk analysis, audit analysis and business intelligence integration between security and business process owners.

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Ernesto Guevara Gonzaga
Buen libro
Reviewed in Mexico on April 23, 2019
Format: PaperbackVerified Purchase

Si lo tuyo es data analysis este es un buen libro en temas de seguridad

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Richard
Five Stars
Reviewed in the United Kingdom on April 11, 2018
Format: PaperbackVerified Purchase
Excellent book, covers data science topics in an easy to understand format with a cybersecurity application.

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Stephen C Eaton
Great book - would love to see a new revision
Reviewed in Australia on April 20, 2020
Format: KindleVerified Purchase
I recently purchased this book and it was definitely a good read and was what I was looking for, however it is in need of revision as links to tools etc are old and out dated, some of the projects are no longer maintained and I'm sure there are better alternatives now.

This book is slanted towards R, not a criticism just as a FYI, the authors give their reasons why, examples should not be hard to convert to Python.

I'd love to see a revision of this book to current data science techniques and Machine learning applied to Cyber Security:

More on Anomaly detection using ML
More on Designing dashboards

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4.0 out of 5 stars Great book - would love to see a new revision

Buen libro

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Great book - would love to see a new revision