Python for Cyber Security
Sign in to save your progress, earn points, and unlock module exams.
Topic 4.4 of Network Traffic Analysis with Python
The prank call flood: a denial-of-service attack exhausts a target's capacity to answer, not by breaking anything. The four main families, and the fingerprint a simple volumetric flood leaves in a capture: one request, repeated far more than any browser would.
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.