BachelorEnd Project
Real-time anomaly detection in critical Rabobank Processes
A.R. Breurkes (TU Delft - Electrical Engineering, Mathematics and Computer Science)
M.M.H.A. Kerkhof (TU Delft - Electrical Engineering, Mathematics and Computer Science)
R. Jongerius (TU Delft - Electrical Engineering, Mathematics and Computer Science)
T.D. Westerborg (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Sicco Verwer – Mentor (TU Delft - Cyber Security)
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Abstract
Real-time processing of log data can give valuable insights in the behaviour of systems and processes. The Rabobank is a large bank and has several of these systems and processes, one of such is the QR device registration process. In order to monitor this process, an application was built which detects abnormal behaviour. The application reads in log data, parses it and then analyses it. Analysing is done by fitting distributions of the duration of each step in the process, and checking for anomalies in new incoming data. Finally, a dashboard was made in which the analysis and the distributions are visualised. More information is also available in the dashboard, like a Markov chain of the process and several key performance indicators.