Python for Cyber Security
Python for Cyber Security
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Topic 4.5 of Network Traffic Analysis with Python
The radio frequency: before botnets moved onto encrypted HTTP, many coordinated over IRC, one operator typing a command every infected machine in the channel would receive at once. Filtering on the port first and the command second finds it.
By the end of this topic, you will
Quadrant 1 · e-Tutorial
Video lesson
Quadrant 2 · e-Content
Quadrant 3 · Web Resources
Quadrant 4 · Self-Assessment
Network Traffic Analysis with Python
Twenty questions on Unit 4, Network Traffic Analysis with Python. Questions cover packet captures and DPKT parsing, GeoIP correlation, denial-of-service traffic families including volumetric floods and IRC-based command and control, sliding-window flood detection, and signature-based and anomaly-based intrusion detection rules.
Python for Cyber Security: Complete Assessment
Comprehensive 100-question assessment covering all five units of Python for Cyber Security: Python and networking foundations, building security tools, digital forensics, network traffic analysis, and integrating cyber security tools, twenty questions pulled from every unit.