Hunting for Malicious Infrastructure Using Big Data

This course aims to teach learners how to use machine learning methods to hunt for anomalies in HTTP responses and identify malicious infrastructure, specifically command and control (C&C) servers. The course covers feature extraction methods for analyzing HTTP response headers, advantages and disadvantages of different machine learning techniques, and the importance of identifying C&C servers for network protection. The intended audience for this course includes cybersecurity professionals, data analysts, and individuals interested in using big data for threat detection.

https://www.classcentral.com/course/youtube-hitbcw2021-d1-hunting-for-malicious-infrastructure-using-big-data-by-freek-bax-and-shadi-alhakimi-166305