iAID

Project sponsor: Bundesministerium für Bildung und Forschung (BMBF)

Project partners: Hochschule Darmstadt, Fachhochschule Frankfurt, Westfälische Hochschule, Ruhr-Universität Bochum, Vodafone D2 GmbH, Dr. Bülow und Masiak GmbH

Time frame: March 2012 – August 2014

Project description: The project “innovative Anomaly and Intrusion Detection (iAID)” is located in the sector of “protection of internet infrastructures” and is intended to realize the detection of anomalies and a new generation of an IT early warning system. The main objectives of iAID are to determine high detection accuracy of threats and take account of current data protection act. Furthermore it should be possible to analyze traffic data of heavily used network links in close to real time. In addition to the above iAID examines how to react appropriately using information fusion and the development of taxonomies of anomalies. The da/sec group participates in the following subprojects:

  • Analysis and realization of a data collector systematic for relevant traffic data
  • Development of an anomaly detection method
  • Generation of appropriate test data
  • Test and analysis of an anomaly detection method
  • Classification and information fusion
  • Development of reaction strategies
  • Evaluation of anomaly detection and reaction strategies