Data-Driven Security: Analysis, Visualization and Dashboards
Author(s): Jay Jacobs (Author), Bob Rudis (Author)
Publisher: Wiley
Publication Date: 24 Feb. 2014
Edition: 1st
Language: English
Print length: 352 pages
ISBN-10: 1118793722
ISBN-13: 9781118793725
Book Description
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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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
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
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
About the Author
Jay Jacobs is the coauthor of Verizon Data Breach Investigation Reports and the cofounder of the Society of Information Risk Analysts, where he currently sits on the board of directors.
Bob Rudis is the Director of Enterprise Information Security & IT Risk Management at Liberty Mutual Insurance and was named one of the Top 25 Influencers in Information Security by Tripwire.
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