Data-driven security : analysis, visualization, and dashboards

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. Youll 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. Everything in the book will have practical application for information security professionals. The entire purpose of data analysis and visualization is to gather feedback from the environment to make better and more informed technology decisions. Within information security that means identifying ways to prevent or detect breaches and then measuring the effectiveness in doing so, which is all wrapped up under "risk management". All of the examples will be directed at answering real-world questions. One of the key points is not just to analyze what is in front of us, but collect and analyze the data we need to answer the questions that will lead to better decisions and prevention of hacks and vulnerabilities. The book will present the core elements of analyzing I.T. system data and information security feedback by using 30 use cases and domain-specific data sets with a focus on practical how-to. This hands-on approach will be covered in context and will not be limited to just the analysis, but all the supporting skills needed to learn from our data. Data analysis from start to finish: from the data collection and preparation through the data storage and management fundamentals then into the analysis and finally data visualization and communication techniques all in the context of security. Use cases will include: Discovering anomalous firewall traffic How to acquire and prepare security data Creating a repeatable data analysis toolkit and workflow Whitehat stats report Security event correlation Vulnerability counts Using inferential stats to detect malware outbreaks Visualizing system logs Mapping Botnets Using NLP and Data Loss Prevention Predicting rogue behavior How to perform predictive analytics Jay Jacobs + Bob Rudis. Includes Bibliographical References.