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Prof. Dr. M. Jarke
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Prof. Dr. M. Jarke
RWTH Aachen
Informatik 5
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Recognition of Anomalous Behavior in the Context of Access Control System

Thesis type
  • Master
Status Running
Proposal on 06. Aug 2018 16:30
Proposal room Seminarraum I5
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Erkennung anomalen Verhaltens im Kontext von Zugangskontrollsystemen

Access control systems are now widely used in many companies. The system can not only manage the authorization problems, but also keep records of the people’s access data. Each person may have a behavioral pattern through the daily life, using the access data the anomalous behaviors can be detected. This thesis is aiming at suggesting a solution, which consists of individual model and group model, to recognize the abnormal behaviors within the access data. The individual model is designed to find a pattern within the records from one person, while the group model discovers the patterns shared by a group of people. Finally, the method will be evaluated over real access dataset and synthetic datasets.

 
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