BPR4GDPR

Business Process Re-engineering for General Data Protection Regulation

Description

The goal of BPR4GDPR is to provide a holistic framework able to support end-to-end GDPR-compliant intra- and interorganisational ICT-enabled processes at various scales, while also being generic enough, fulfilling operational requirements covering diverse application domains. To this end, proposed solutions will have a strong semantic foundation and cover the full process lifecycle addressing major challenges and priorities posed by the regulation, including requirements interpretation, broad territorial scope, accountability, security means enforcement, data subject’s rights and consent, unified data view and processing actions inventory, privacy by design, etc.

The starting point will be process models, either automatically discovered through organisation logs or manually specified, formally expressed through a Compliance Metamodel, a comprehensive process modelling technology able to capture advanced privacy provisions. Thereupon, a highly expressive policy framework will guide the automatic verification of these models regarding GDPR requirements, and their subsequent transformation, so that they are rendered inherently privacyaware before being deployed for execution. Subsequently, the consistent execution of GDPR-compliant processes will be ensured by a comprehensive set of tools able to support all diverging requirements that may arise from GDPR, related to data handling, data subjects’ involvement, various PETs, etc., so that even organisations with currently no such infrastructure in place can readily have such mechanisms. Finally, process mining will be extensively used for the ex post analysis of processes, in order to ensure that specified policies are indeed enforced. However, apart from verifying compliance, such techniques will offer the added value of automatically improving process models over time towards optimised fulfillment of both legal and business requirements.

Deployed on the Cloud, BPR4GDPR will provide for Compliance-as-a-Service (CaaS).

Links

Publications

  • Concept drift detection of event streams using an adaptive window - Hassani, M. (2019). Concept drift detection of event streams using an adaptive window. In 33rd International ECMS Conference on Modelling and Simulation, ECMS 2019 (pp. 230-239). [DSM 73] (Proceedings – European Council for Modelling and Simulation, ECMS; Vol. 33). Abstract Process mining is an emerging data mining task of gathering valuable knowledge out of the Read More ...
  • Process mining meets GDPR compliance: the right to be forgotten as a use case - Zaman, R., & Hassani, M. (2019). Process mining meets GDPR compliance: the right to be forgotten as a use case. In B. van Dongen, & J. Claes (Eds.), ICPM Doctoral Consortium 2019: Proceedings of the ICPM 2019 Doctoral Consortium co-located with 1st International Conference on Process Mining (ICPM 2019) (CEUR Workshop Proceedings; Vol. 2432). CEUR-WS.org. Read More ...
  • An innovative online process mining framework for supporting incremental GDPR compliance of business processes - Zaman, R., Cuzzocrea, A., & Hassani, M. (2019). An innovative online process mining framework for supporting incremental GDPR compliance of business processes. In C. Baru, J. Huan, L. Khan, X. T. Hu, R. Ak, Y. Tian, R. Barga, C. Zaniolo, K. Lee, & Y. F. Ye (Eds.), 2019 IEEE International Conference on Big Data, Big Read More ...
  • On Enabling GDPR Compliance in Business Processes Through Data-Driven Solutions - Zaman, R., & Hassani, M. (2020). On Enabling GDPR Compliance in Business Processes Through Data-Driven Solutions. SN Computer Science, 1(4), 1-15. [210]. https://doi.org/10.1007/s42979-020-00215-x Abstract The collection and long-term retention of excessive data enables organisations to process data for insights in non-primary processes. The discovery of insights is promoted to be useful both for organisations and Read More ...
  • Facilitating GDPR compliance: the H2020 BPR4GDPR approach - Lioudakis, G. V., Koukovini, M. N., Papagiannakopoulou, E. I., Dellas, N., Kalaboukas, K., de Carvalho, R. M., Hassani, M., Bracciale, L., Bianchi, G., Juan-Verdejo, A., Alexakis, S., Gaudino, F., Cascone, D., & Barracano, P. (2020). Facilitating GDPR compliance: the H2020 BPR4GDPR approach. In I. O. Pappas, I. O. Pappas, P. Mikalef, L. Jaccheri, J. Krogstie, Read More ...
  • Data Minimisation as Privacy and Trust Instrument in Business Processes - Zaman, R., Hassani, M., & van Dongen, B. F. (Accepted/In press). Data Minimisation as Privacy and Trust Instrument in Business Processes. In Business Process Management Workshops (BPM 2020) Springer. Abstract Data is vital for almost all sorts of business processes and workflows. However, the possession of personal data of other beings bear consequences. Data is Read More ...
  • Prefix Imputation of Orphan Events in Event Stream Processing - Zaman, R., Hassani, M., & van Dongen, B. F. (2021). Prefix Imputation of Orphan Events in Event Stream Processing. Frontiers in Big Data, 4, [705243]. https://doi.org/10.3389/fdata.2021.705243 Abstract In the context of process mining, event logs consist of process instances called cases. Conformance checking is a process mining task that inspects whether a log file is Read More ...
  • A Framework for Efficient Memory Utilization in Online Conformance Checking - Zaman, R., Hassani, M., & van Dongen, B. F. (2021). A Framework for Efficient Memory Utilization in Online Conformance Checking. arXiv.org. https://arxiv.org/pdf/2112.13640.pdf Abstract Conformance checking (CC) techniques of the process mining field gauge the conformance of the sequence of events in a case with respect to a business process model, which simply put is an Read More ...
  • MLA: A Tool for Multi-Perspective Conformance Checking of Business Processes - Mehr, A. S. M., de Carvalho, R. M., & van Dongen, B. (2021). MLA: A Tool for Multi-Perspective Conformance Checking of Business Processes. In ICPM 2021 Doctoral Consortium and Demo Track 2021 (pp. 35-36). (CEUR Workshop Proceedings; Vol. 3098). CEUR-WS.org. https://ceur-ws.org/Vol-3098/demo_200.pdf Abstract Existing conformance checking techniques focus more on the control-flow perspective rather than other Read More ...
  • An Association Rule Mining-Based Framework for the Discovery of Anomalous Behavioral Patterns - Mozafari Mehr, A. S., M. de Carvalho, R., & van Dongen, B. (2022). An Association Rule Mining-Based Framework for the Discovery of Anomalous Behavioral Patterns. In W. Chen, L. Yao, T. Cai, S. Pan, T. Shen, & X. Li (Eds.), Advanced Data Mining and Applications – 18th International Conference, ADMA 2022, Proceedings (pp. 397-412). (Lecture Notes in Computer Read More ...

Staff

  • Boudewijn van Dongen - Boudewijn’s research focusses on conformance checking. Conformance checking is considered to be anything where observed behavior, needs to be related to already modeled behavior. Conformance checking is embedded in the larger contexts of Business Process Management and Process Mining. Boudewijn aims to develop techniques and tools to analyze databases and logs of large-scale information systems Read More ...
  • Marwan Hassani - Dr. Marwan Hassani is assistant professor at the PA group with a focus on Real-Time Process Mining. His research interests include stream data mining, sequential pattern mining of multiple streams, efficient anytime clustering of big data streams and exploration of evolving graph data. He uses customer journey optimizationa and privacy-aware process mining as use cases for his Read More ...
  • Renata Medeiros de Carvalho - Position: UD Room: MF 7.067 Tel (internal): 4144 Links: Courses External assignments Projects Publications External links: Google Scholar page Scopus page ORCID page DBLP page TU/e page Recent courses Recent external assignments Recent projects Recent publications
  • Eric Verbeek - Eric is the scientific programmer in the PA group. As such, he is the custodian of the process mining framework ProM. In you want access to the ProM repository, or have any questions related to ProM and its development, ask Eric. Recently, he has been working on a decomposition framework for both process discovery as Read More ...
  • Rashid Zaman - Position: PhD Student Room: MF 7.062 Tel (internal): 6322 Links: Courses Presentations Projects Publications External links: Google scholar page Scopus page ORCID page DBLP page TU/e page Recent courses Recent presentations Recent projects Recent publications
  • Azadeh Mozafari Mehr - Position: PhD Student Room: MF 7.117 Tel (internal): 6320 Links: Courses Presentations Projects Publications External links: Scopus page ORCID page DBLP page TU/e page Recent courses Recent presentations Recent projects Recent publications

Vacancies

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