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on
1
Intro
2
PANDAS: HIGH-PERF DATA ANALYSIS FOR PYTHON
3
POPULATING YOUR DATAFRAME
4
OR... READ DIRECTLY FROM ELASTICI
5
UNDERSTANDING THE DATA
6
DROP UNNECESSARY COLUMNS
7
DROP UNNECESSARY ROWS
8
FREQUENCY ANALYSIS (AKA "STACK COUNTING")
9
DRILUNG DOWN
10
HUNTING IS JUST A MATTER OF TIME SERIES ANALYSIS
11
TIME SERIES SEASONALITY
12
UNDERSTANDING THE SEASONAL PATTERN
13
THE CORRECTED TRANSACTION GRAPH
14
TOOLS & RESOURCES
Description:
Dive into data analysis for cybersecurity with this conference talk from Security Onion Conference 2018. Learn how to leverage Security Onion and other open-source tools to perform high-performance data analysis using Python and PANDAS. Explore techniques for populating dataframes, reading directly from Elastic, and understanding complex datasets. Master essential skills such as dropping unnecessary columns and rows, conducting frequency analysis, and drilling down into data. Discover how hunting is fundamentally a matter of time series analysis, and gain insights into seasonal patterns and corrected transaction graphs. Acquire valuable knowledge about tools and resources to enhance your data analysis capabilities in the field of information security.

Introduction to Data Analysis with Security Onion and Other Open Source Tools

Security Onion
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