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            Obstructions in Security-Aware Business Processes

            Analysis, Detection, and Handling

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            Author(s)
            Holderer, Julius
            Collection
            DFG Open Access Publication Funding
            Language
            English
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            Abstract
            This Open Access book explores the dilemma-like stalemate between security and regulatory compliance in business processes on the one hand and business continuity and governance on the other. The growing number of regulations, e.g., on information security, data protection, or privacy, implemented in increasingly digitized businesses can have an obstructive effect on the automated execution of business processes. Such security-related obstructions can particularly occur when an access control-based implementation of regulations blocks the execution of business processes. By handling obstructions, security in business processes is supposed to be improved. For this, the book presents a framework that allows the comprehensive analysis, detection, and handling of obstructions in a security-sensitive way. Thereby, methods based on common organizational security policies, process models, and logs are proposed. The Petri net-based modeling and related semantic and language-based research, as well as the analysis of event data and machine learning methods finally lead to the development of algorithms and experiments that can detect and resolve obstructions and are reproducible with the provided software.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/175434
            Keywords
            IT-Security; Business Process Management; Security and Privacy; Process Security; Compliance; Process Automation; Process Modeling; Petri Net; Process Mining; Data Mining; thema EDItEUR::U Computing and Information Technology::UR Computer security; thema EDItEUR::U Computing and Information Technology::UR Computer security::URD Privacy and data protection
            DOI
            10.1007/978-3-658-38154-7
            ISBN
            9783658381547
            Publisher
            Springer Nature
            Publisher website
            http://www.springernature.com/oabooks
            Publication date and place
            Wiesbaden, 2022
            Imprint
            Springer Vieweg
            Pages
            341
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            Credits


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            • logo EUEuropean Union
              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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