- Kenny EuVeronica Valeros, Sebastian GarciaAdvanced Malware Traffic Analysis - Adaptive Defence. 2025 Edition [2107]Cody NelsonApril 1 - 2, 16 Credit Hours

Advanced Malware Traffic Analysis - Adaptive Defence. 2025 Edition [2107]
Kenny Eu
This intensive hands-on training provides students with the essential know-how to analyze malware traffic and advanced attacks, gaining a deep understanding of malware behaviors within a network. Through practical exercises, participants gain proficiency in identifying malicious connections and learn to differentiate between normal and malicious behaviors while effectively handling very large traffic captures.
The most important lesson of the training is: that it is not about how to use a tool. The goal is to transmit the experience of recognizing malicious actions within the network. This includes understanding how malware hides, how to track it, and how to analyze traffic patterns to discard false positive connections. Students actively engage in executing their own malware, exploiting active services, capturing its traffic, and conducting comprehensive analysis, with a particular focus on real-life scenarios. It also explores and incorporates the application of machine learning models for detection.
Skills / Knowledge
- Network
- Defense
Issued on
Expires on
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