Log File Analysis with Python

سرفصل های دوره

Manual log analysis can become a time consuming task. This course will teach you how to automate log file analysis with Python.

Exercise Files

python-log-file-analysis.zip

Module 1 - Course Overview

1. Course Overview

Module 2 - Processing Log Files

01. Introduction

02. Opportunities and Pitfalls of Analysing Logs with Python

03. Setting up Your Development Environment

04. Reading Log File in Python

05. Parsing Log Data

06. Leveraging Regular Expressions to Extract Individual Fields

07. Demo - Parse SMB Log Data with Regular Expressions

08. Working with Windows Log Files

09. Demo - Detecting Malicious Activity based on Windows Event Logs

10. Summary

Module 3 - Analyzing and Enriching Log Data

1. Introduction

2. Enriching Logs with GeoIP Data

3. C2 Beacon Detection

4. Demo - Detect Beaconing Based on Log Correlation

5. Understanding Frequency Analysis

6. Demo - Performing Frequency and Similarity Analysis on DNS Traffic

7. Working with Timestamps

8. Demo - Plotting Log Data Based on Timeline Analysis

9. Summary

Module 4 - Building Log Analysis Workflows

1. Introduction

2. Building Log Analysis Workflows

3. Technical Aspects of Interacting with Rest APIs

4. Saving Log Data in MongoDB

5. Indexing Log Data into Elasticsearch

6. Summary

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افزودن به سبد خرید

خرید دانلودی فوری

در این روش نیاز به افزودن محصول به سبد خرید و تکمیل اطلاعات نیست و شما پس از وارد کردن ایمیل خود و طی کردن مراحل پرداخت لینک های دریافت محصولات را در ایمیل خود دریافت خواهید کرد.

تولید کننده: PluralSight