Posted in Computing Security

Security Analytics Toolbox and an Example

Before you jump right into data-driven security analytics, it is important to ensure you at least have a basic familiarity with the two most prominent…

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Posted in Computing Security

Common Descriptive Analytics for Security Data 4: Correlation and Regression Analysis

Understanding the explicit relationship between attributes helps analysts uncover hidden patterns in data. Correlation analysis is a method of statistical evaluation used to study the…

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Posted in Computing Security

Common Descriptive Analytics for Security Data 3: Quartile Analysis

Similar to Cross-Sectional Analysis, both require the analyst to select a collection of attributes to examine Then identify a suitable grouping and aggregation strategy. Finally,…

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Posted in Computing Security

Common Descriptive Analytics for Security Data 2: Time Series, Cross-Sectional analysis

For the purpose of the discussion, we are using a simple data set here (excerpted from Andrew Jaquith book on Security Metrics). This is a…

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Posted in Computing Security

Common Descriptive Analytics for Security Data 1: Summary Statistics

Most of security metrics we introduced in previous units are raw data or simple observations. In order to fit them for decision making dashboards and…

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Posted in Computing Security

Security Data Analytics Pipeline

Big data and security intelligence are the two popular topics in cyber security. We are collecting more and more data from the infrastructures and increasingly…

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Posted in Computing Security

A Brief History of Learning from Data

Prior to the 20th century, the use of data and statistics was still relatively undeveloped. Much of the scientific research of the day used basic…

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Posted in Computing Security

What is Data Driven Security?

A field called “Information Theory” is a rigorous theoretical construct for information and developed in 1940s by Claude¬† E. Shannon, an American electrical engineer and…

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