How would you approach designing a machine learning system for real-time anomaly detection in network traffic?

Instruction: Outline your system design, including data processing, model selection, and deployment considerations.

Context: This question gauges the candidate's expertise in applying machine learning for cybersecurity purposes, particularly in detecting anomalies in network traffic.

Official answer available

Preview the opening of the answer, then unlock the full walkthrough.

I would start by defining what counts as an anomaly operationally, because "unusual" is too vague for a production system. Security teams usually care about specific outcomes such as intrusion attempts, lateral movement, data exfiltration patterns, or infrastructure abuse, and the design should reflect that.

Architecturally, I...

Upgrade to view official answer

How would you approach designing a machine learning system for real-time anomaly detection in network traffic?

Related Questions