BachelorEnd Project

Real-time anomaly detection in critical Rabobank Processes

Bachelor thesis (2019)

Authors

A.R. Breurkes Electrical Engineering, Mathematics and Computer Science
M.M.H.A. Kerkhof Electrical Engineering, Mathematics and Computer Science
R. Jongerius Electrical Engineering, Mathematics and Computer Science
T.D. Westerborg Electrical Engineering, Mathematics and Computer Science

Contributors

S.E. Verwer Cyber Security - EEMCS (supervisor 1)
Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright: © 2019 Arthur Breurkes, Maikel Kerkhof, Ricardo Jongerius, Ties Westerborg
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Published Date

05-07-2019

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

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.