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TARGET

Unified Threat Intelligence on Targeted Attacks

The center explored novel techniques for threat intelligence on targeted attacks on different layers. Together they form a unified methodology for the detection and mitigation of this new class of threats.

The center aims at developing threat intelligence methodologies that observe the system as a whole and apply formal modeling in conjuncture with the collection, processing, comparison, and analysis of system state information.

Its research topics are:

  • Formal methods: Next to extracting various attack indicators, we aim to develop a universal model for describing malicious behavior.
  • Behavioral analysis: Our applied work focuses on behavioral analysis of IT system activity and malicious software on API call level.
  • Data mining: Anomaly detection and threat response is enabled by data mining procedures utilizing a multitude of algorithms.
  • Honeypot & kernel monitoring: We use honeypot and kernel monitoring technology to tempt attackers and learn about APT behavior.

SBA leads the External Module Container Technology and Advanced Targeted Attacks of JRC TARGET.

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TARGET is funded by the Christian Doppler Forschungsgesellschaft (CDG) and a number of industry partners.

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