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    Obstructions in Security-Aware Business Processes

    Analysis, Detection, and Handling

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    Author(s)
    Holderer, Julius
    Collection
    DFG - German Research Foundation
    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://library.oapen.org/handle/20.500.12657/57935
    Keywords
    IT-Security; Business Process Management; Security and Privacy; Process Security; Compliance; Process Automation; Process Modeling; Petri Net; Process Mining; Data Mining
    DOI
    10.1007/978-3-658-38154-7
    ISBN
    9783658381547, 9783658381547
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    Wiesbaden, 2022
    Grantor
    • Deutsche Forschungsgemeinschaft (DFG)
    Imprint
    Springer Vieweg
    Classification
    Computer security
    Privacy and data protection
    Pages
    341
    Rights
    http://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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