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Query Log Analysis: Detecting Anomalies in DNS Traffic at a TLD Resolver

  • Pieter RobberechtsEmail author
  • Maarten Bosteels
  • Jesse Davis
  • Wannes Meert
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 967)

Abstract

We present QLAD, an anomaly detection system that is designed for the high query volume and the specific nature of DNS traffic at a TLD resolver. QLAD integrates three components that implement the complete anomaly detection process, ranging from the ingression of raw traffic data to the visualisation of detected anomalies. With an initial analysis of query logs from the Belgian ccTLD registry, we showed that QLAD can archive data compactly, has a low computational cost and can detect a wide range of anomalies. We found several anomalies that are of interest to the registry operator, such as domain enumerations and DoS attacks. Other anomalies were caused by benign applications with unique traffic patterns. A user interface helps to distinguish these, but correctly identifying all anomalies remains a difficult and tedious task.

Keywords

Anomaly detection DNS Internet security 

Notes

Acknowledgements

The authors acknowledge the partial support of KU Leuven Research Fund C14/17/070 and C22/15/015 (PR and JD), FWO-Vlaanderen SBO-150033 (JD and WM) and Interreg V A project NANO4Sports (PR and JD).

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Pieter Robberechts
    • 1
    Email author
  • Maarten Bosteels
    • 2
  • Jesse Davis
    • 1
  • Wannes Meert
    • 1
  1. 1.Department of Computer ScienceKU LeuvenLeuvenBelgium
  2. 2.DNS Belgium vzwLeuvenBelgium

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