Botnet Dynamics and Detection

This unit examines how botnets evolve, the incentives and markets that shape their sophistication, and technical indicators visible in network traffic. Students learn practical header-level inspection, data collection strategies, and how positive and negative security approaches affect the broader internet ecosystem.

Learning Objectives

• Analyze the six stages of botnet evolution and compare capabilities such as CAPTCHA-solving and AI-enabled behaviors, citing how attacker incentives and market forces drive sophistication
• Apply HTTP header inspection and traffic artifact analysis to identify probable botnet communications and enumerate observable indicators of compromise
• Evaluate the economic incentives and underground market structures that support botnet development and assess how those incentives influence attack vectors and defender priorities
• Demonstrate a legally and ethically informed data collection strategy and contrast positive versus negative security approaches, explaining anticipated impacts on detection, mitigation, and the internet ecosystem