VernISiM:
Vernetztes Intelligentes Sicherheitsmonitoring und -management (Crosslinked Intelligent Security Monitoring and Management)

Project Duration: 1.6.2008 to 31.5.2011 (Finished)
Area of Research: Industrial Signal Processing : Real-time image processing, Industrial Signal Processing : Sensor fusion
Project Manager: Prof. Dr.-Ing. Volker Lohweg


  

Concepts, methods and the design of a networked security-monitoring and -management system shall be realised within the scope of a holistic security concept for automated teller machines (ATMs).

In Germany, approx. 300 cases of manipulated or damaged ATMs for the purpose of cash theft were registered in 2006. Additionally, cases of manipulated payment terminals in stores were registered since 2007 where debit card data and personal identification numbers were disclosed. Besides material damage, substantial insecurities amongst the public accompanied by a loss of trust in security relevant technologies, affecting the individual’s privacy to a high degree, arise in the cash cycle.

Vernisim shall detect active and passive attacks on defined system components and, being designed as an Embedded System, is able to report an attack via an incorporated interface to a central analysis unit. In principle, methods for sensor signal processing and multi-sensor image processing and pattern recognition can contribute decisively to monitor cash dispense systems and, besides others, protect against so-called skimming security-relevant information.

An anomaly detection system which is to be designed will obtain measurement data from defined information sources and subsequently pre-process and analyse them. Based on sensor networks which generate processible information by sensor fusion methods, attacks or anomalies shall be detected during run-time. By means of a knowledge base, attack scenarios shall be detected and the causes of state changes analysed and interpreted. In this context the focus is on the decision whether the state anomalies are usual variations or intentional attacks on a system. In the scope of the planned project, the decision if and how an alarm is issued is based on the knowledge of the current state and by utilisation of historical data.

Additionally, general approaches for coupling human-machine-interactions with special respect to evidence theoretical and fuzzy classification concepts are evaluated to obtain statements about the quality of combined human and sensor information. It is planned to use certain steps of the project as examples for practically relevant process development in education and work on them in the scope of Bachelor and Master Theses as well as a cooperative doctorate.


Cooperation Partners:

    Grabau GmbH - Paderborn

    Wincor Nixdorf - Paderborn

    Hypercom GmbH - Bad Hersfeld

    EURO Kartensysteme GmbH - Frankfurt

    BEB AG - Oberburg/CH

    Universität Paderborn

 

 

Image: Vernetztes Intelligentes Sicherheitsmonitoring und -management (Crosslinked Intelligent Security Monitoring and Management)Image: Vernetztes Intelligentes Sicherheitsmonitoring und -management (Crosslinked Intelligent Security Monitoring and Management)


Publications:

Mönks, Uwe; Lohweg, Volker; Larsen, Henrik Legind: Aggregation Operator Based Fuzzy Pattern Classifier Design, Machine Learning in Real-Time Applications (MLRTA 09). In: KI 2009 Workshop, Paderborn | September 15th, 2009, accepted for Publication Sep 2009 (More)

Mönks, Uwe; Lohweg, Volker; Petker, Denis: Fuzzy-Pattern-Classifier Training with Small Data Sets. In: IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems 28 Jun 2010 - 02 July 2010, Dortmund, Germany, Jun 2010 (More)

Lohweg, Volker; Mönks, Uwe: Sensor Fusion by Two-Layer Conflict Solving. In: The 2nd International Workshop on Cognitive Information Processing 14 - 16 June, 2010, Elba Island (Tuscany), Italy, Jun 2010 (More)



Thesis:


Paul Olfert (Project)
Strategien zur modellbasierten Zuverlässigkeitsanalyse (Details)

Paul Olfert (Bachelor)
Implementierung einer modellbasierten Zuverlässigkeitsanalyse (Details)

Uwe Mönks (Master)
Fuzzy Pattern Classifier Design Under Considerations of Different Aggregation Operators and Membership Functions (Details)

Stefan Glock (Master)
Investigations on Possibilistic Multi-source Data Fusion with Sensor Reliability Monitoring (Details)


Funded by: Bundesministerium für Bildung und Forschung Grant ID: 17N2708
Funding: IngenieurNachwuchs 2008
Contact Person: Prof. Dr.-Ing. Volker Lohweg , Dr.-Ing. Uwe Mönks
Research Assistant: Dr.-Ing. Uwe Mönks , Dipl.-Ing. Jan-Friedrich Ehlenbröker