IntermediateDefensiveNetworkingDetection

Network Security Through Data Analysis

From Data to Action

4 / 5

Michael Collins on building situational awareness from network telemetry: collection architecture, statistical baseline-setting, and the analytic patterns that turn raw flows into detection.

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Published
2017
Publisher
O'Reilly Media
Pages
428
Language
English

Read this if

Detection engineers and SOC analysts who've graduated from "what alert is this" to "is this alert worth triaging at all." Collins is the quantitative-detection text the field needed.

Skip this if

Beginners with no NSM background, or readers who only do log-based detection. The book leans heavily on flow data and statistical thinking; pair with The Practice of Network Security Monitoring (Bejtlich) first if you're new to the discipline.

Key takeaways

  • Detection engineering at scale is a statistical problem; the book teaches the framing every modern SOC eventually reinvents.
  • Flow-data analytics (NetFlow / IPFIX / sFlow) catch lateral movement that packet-based detection misses; the book is the cleanest treatment in print.
  • Time-series anomaly detection can be done well with off-the-shelf tooling and clear thinking; the chapters on baseline calibration are the practical core.

Notes

Pair with Practice of Network Security Monitoring (Bejtlich) for the operational frame and Practical Packet Analysis (Sanders) for the Wireshark fluency. Collins's research at Carnegie Mellon's CERT/CC underlies much of the book; his subsequent work on security data analytics is the natural follow-up reading.