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

Mehr, Azadeh Sadat Mozafari; Carvalho, Renata Medeiros de

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

Cited by 11 publications

(4 citation statements)

References 12 publications

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“…To comprehensively check the conformance of an event log from the viewpoint of the control flow, the data-access and resource authorization, a more recent approach has been developed by Mozafari et al [5]. In their paper, the combination of an event log, a data access log and a resource model is used to construct a large synchronous product.…”

Section: Relating Observed and Modelled Behaviour: Advanced Techniquesmentioning

confidence: 99%

Conformance Checking: Foundations, Milestones and Challenges

Carmona

Weidlich

2022

Lecture Notes in Business Information Processing

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By relating observed and modelled behaviour, conformance checking unleashes the full power of process mining. Techniques from this discipline enable the analysis of the quality of a process model discovered from event data, the identification of potential deviations, and the projection of real traces onto process models. This way, the insights gained from the available event data can be transferred to a richer conceptual level, amenable for a human interpretation. The aforementioned functionalities are grounded on the use of conformance checking artefacts that explicit the relation between observed and modelled behaviour. This chapter describes these artefacts, and builds upon them to gain evidence-based insights on the processes of an organization. Moreover, we overview the applications of conformance checking and propose a general framework that incorporates these applications. Finally, milestones and challenges of the field are outlined.

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Section: Relating Observed and Modelled Behaviour: Advanced Techniquesmentioning

confidence: 99%

Conformance Checking: Foundations, Milestones and Challenges

Carmona

Weidlich

2022

Lecture Notes in Business Information Processing

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“…Besides the presented contribution on compliance checking, other efforts have taken place in the BPR4GDPR context. To be able to detect more complex non-compliance, [34] and [35] propose a technique to represent control-flow, data, and privacy aspects all together as reference model. Such technique, implemented as a plug-in to the presented tool [36], is able to find non-compliance in one of these perspectives or resulting from a combination of them.…”

Section: Ex-post Compliance Assessmentmentioning

confidence: 99%

GDPR Compliance Made Easier: the BPR4GDPR Project

Lioudakis¹,

Papagiannakopoulou²,

Koukovini³

et al. 2021

ARIS2 Journal

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With the aim to facilitate compliance with the GDPR, particularly for SMEs, this paper summarises the results of the H2020 BPR4GDPR project. With a focus on business processes, the project has proposed a holistic approach able to support compliant processes, while fulfilling requirements covering diverse application domains. The main pillars of the solution are: i) a policy-based access and usage control system, for setting the operational rules; ii) a framework for automatically re-engineering processes, so that they become compliant by design; iii) a run-time environment for the enforcement of privacy constraints and data subjects’ rights; iv) a process mining framework, devised for ex post compliance analysis and conformance checking leveraging the process execution traces.

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“…Previously, we presented a balanced multi-perspective approach for conformance checking and anomaly detection which considered control-flow, data and privacy perspectives all together and simultaneously without giving priority to one perspective [9]. In this paper, we extend our previous approach by considering the type of data operations (mandatory or optional) and their execution constraints in the calculation of alignments.…”

Section: Introductionmentioning

confidence: 99%

Detecting Complex Anomalous Behaviors in Business Processes: A Multi-perspective Conformance Checking Approach

Mehr

Carvalho

2023

Lecture Notes in Business Information Processing

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In recent years, organizations are putting an increasing emphasis on anomaly detection. Anomalies in business processes can be an indicator of system faults, inefficiencies, or even fraudulent activities. In this paper we introduce an approach for anomaly detection. Our approach considers different perspectives of a business process such as control flow, data and privacy aspects simultaneously.Therefore, it is able to detect complex anomalies in business processes like spurious data processing and misusage of authorizations. The approach has been implemented in the open source ProM framework and its applicability was evaluated through a real-life dataset from a financial organization. The experiment implies that in addition to detecting anomalies of each aspect, our approach can detect more complex anomalies which relate to multiple perspectives of a business process.

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

Cited by 11 publications

References 12 publications

Conformance Checking: Foundations, Milestones and Challenges

Conformance Checking: Foundations, Milestones and Challenges

GDPR Compliance Made Easier: the BPR4GDPR Project

Detecting Complex Anomalous Behaviors in Business Processes: A Multi-perspective Conformance Checking Approach

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