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A collection of 3 posts
Analyzing web application data
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data_science

Analyzing web application data

Learn how to effectively analyze and clean web application data, ensure consistency across logs, enrich the dataset with additional information, explore traffic patterns, identify anomalies, and build accurate models for fraud detection. 📕This article forms part of the notes from Week 2 of the Data Science for Security and Fraud
02 Apr 2023 10 min read
Detecting bot traffic
Paid-members only
data_science

Detecting bot traffic

How can we differentiate bot from human traffic? What are some typical features? 📕This article forms part of the notes from Week 2 of the Data Science for Security and Fraud online course. Access the full course outline here. How to identify (bad) bot traffic? It is always possible to
02 Apr 2023 15 min read
Week 1 Project: Attacking Alpha Bank
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Week 1 Project: Attacking Alpha Bank

🧰This article is the project for Week 1 of the Data Science for Security and Fraud online course. Access the full course outline here. You are trying to join The Shadows, a shadowy international gang that is rumored to be the world's most profitable crime syndicate. Its members
01 Apr 2023 1 min read
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