Detecting Privacy, Data and Control-Flow Deviations in Business Processes

Azadeh Mozafari Mehr; Renata Medeiros de Carvalho; Boudewijn F. van Dongen

doi:10.1007/978-3-030-79108-7_10

Detecting Privacy, Data and Control-Flow Deviations in Business Processes

Azadeh Mozafari Mehr (Corresponderende auteur)
, Renata Medeiros de Carvalho
, Boudewijn F. van Dongen

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

12 Citaten (Scopus)

121 Downloads (Pure)

Samenvatting

Existing access control mechanisms are not sufficient for data protection. They are only preventive and cannot guarantee that data is accessed for the intended purpose. This paper proposes a novel approach for multi-perspective conformance checking which considers the control-flow, data and privacy perspectives of a business process simultaneously to find the context in which data is processed. In addition to detecting deviations in each perspective, the approach is able to detect hidden deviations where non-conformity relates to either a combination of two or all three aspects of a business process. The approach has been implemented in the open source ProM framework and was evaluated through controlled experiments using synthetic logs of a simulated real-life process.

Originele taal-2	Engels
Titel	Intelligent Information Systems
Subtitel	CAiSE Forum 2021, Melbourne, VIC, Australia, June 28 – July 2, 2021, Proceedings
Redacteuren	Selmin Nurcan, Axel Korthaus
Uitgeverij	Springer
Hoofdstuk	10
Pagina's	82-91
Aantal pagina's	10
ISBN van elektronische versie	978-3-030-79108-7
ISBN van geprinte versie	978-3-030-79107-0
DOI's	https://doi.org/10.1007/978-3-030-79108-7_10
Status	Gepubliceerd - 15 jun. 2021
Evenement	33rd International Conference on Advanced Information Systems Engineering, CAiSE 2021 - Virtual Duur: 28 jun. 2021 → 2 jul. 2021

Publicatie series

Naam	Lecture Notes in Business Information Processing (LNBIP)
Volume	424
ISSN van geprinte versie	1865-1348
ISSN van elektronische versie	1865-1356

Congres

Congres	33rd International Conference on Advanced Information Systems Engineering, CAiSE 2021
Verkorte titel	CAiSE 2021
Stad	Virtual
Periode	28/06/21 → 2/07/21

Financiering

Acknowledgement. The author has received funding within the BPR4GDPR project from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 787149.

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10.1007/978-3-030-79108-7_10

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Mozafari Mehr, A., Medeiros de Carvalho, R., & van Dongen, B. F. (2021). Detecting Privacy, Data and Control-Flow Deviations in Business Processes. In S. Nurcan, & A. Korthaus (editors), Intelligent Information Systems: CAiSE Forum 2021, Melbourne, VIC, Australia, June 28 – July 2, 2021, Proceedings (blz. 82-91). (Lecture Notes in Business Information Processing (LNBIP); Vol. 424). Springer. https://doi.org/10.1007/978-3-030-79108-7_10

Mozafari Mehr, Azadeh ; Medeiros de Carvalho, Renata ; van Dongen, Boudewijn F. / Detecting Privacy, Data and Control-Flow Deviations in Business Processes. Intelligent Information Systems: CAiSE Forum 2021, Melbourne, VIC, Australia, June 28 – July 2, 2021, Proceedings. redacteur / Selmin Nurcan ; Axel Korthaus. Springer, 2021. blz. 82-91 (Lecture Notes in Business Information Processing (LNBIP)).

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abstract = "Existing access control mechanisms are not sufficient for data protection. They are only preventive and cannot guarantee that data is accessed for the intended purpose. This paper proposes a novel approach for multi-perspective conformance checking which considers the control-flow, data and privacy perspectives of a business process simultaneously to find the context in which data is processed. In addition to detecting deviations in each perspective, the approach is able to detect hidden deviations where non-conformity relates to either a combination of two or all three aspects of a business process. The approach has been implemented in the open source ProM framework and was evaluated through controlled experiments using synthetic logs of a simulated real-life process.",

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Mozafari Mehr, A, Medeiros de Carvalho, R & van Dongen, BF 2021, Detecting Privacy, Data and Control-Flow Deviations in Business Processes. in S Nurcan & A Korthaus (reds.), Intelligent Information Systems: CAiSE Forum 2021, Melbourne, VIC, Australia, June 28 – July 2, 2021, Proceedings. Lecture Notes in Business Information Processing (LNBIP), vol. 424, Springer, blz. 82-91, 33rd International Conference on Advanced Information Systems Engineering, CAiSE 2021, Virtual, 28/06/21. https://doi.org/10.1007/978-3-030-79108-7_10

Detecting Privacy, Data and Control-Flow Deviations in Business Processes. / Mozafari Mehr, Azadeh (Corresponderende auteur); Medeiros de Carvalho, Renata ; van Dongen, Boudewijn F.
Intelligent Information Systems: CAiSE Forum 2021, Melbourne, VIC, Australia, June 28 – July 2, 2021, Proceedings. reds. / Selmin Nurcan; Axel Korthaus. Springer, 2021. blz. 82-91 (Lecture Notes in Business Information Processing (LNBIP); Vol. 424).

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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Mozafari Mehr A, Medeiros de Carvalho R , van Dongen BF. Detecting Privacy, Data and Control-Flow Deviations in Business Processes. In Nurcan S, Korthaus A, redacteurs, Intelligent Information Systems: CAiSE Forum 2021, Melbourne, VIC, Australia, June 28 – July 2, 2021, Proceedings. Springer. 2021. blz. 82-91. (Lecture Notes in Business Information Processing (LNBIP)). doi: 10.1007/978-3-030-79108-7_10

Detecting Privacy, Data and Control-Flow Deviations in Business Processes

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