978-3-658-38154-7.pdf

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 i...

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Γλώσσα:English
Έκδοση: Springer Nature 2022
Διαθέσιμο Online:https://link.springer.com/978-3-658-38154-7
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spelling oapen-20.500.12657-579352023-08-03T13:17:50Z Obstructions in Security-Aware Business Processes Holderer, Julius IT-Security Business Process Management Security and Privacy Process Security Compliance Process Automation Process Modeling Petri Net Process Mining Data Mining bic Book Industry Communication::U Computing & information technology::UR Computer security bic Book Industry Communication::U Computing & information technology::UR Computer security::URD Privacy & data protection 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. 2022-08-17T20:14:39Z 2022-08-17T20:14:39Z 2022 book ONIX_20220817_9783658381547_28 9783658381547 https://library.oapen.org/handle/20.500.12657/57935 eng application/pdf n/a 978-3-658-38154-7.pdf https://link.springer.com/978-3-658-38154-7 Springer Nature Springer Vieweg 10.1007/978-3-658-38154-7 10.1007/978-3-658-38154-7 6c6992af-b843-4f46-859c-f6e9998e40d5 0d7cb655-c6c7-40c5-b2e3-3e56349035b3 Deutsche Forschungsgemeinschaft (DFG) 9783658381547 DFG Open Access Publication Funding Springer Vieweg 341 Wiesbaden [...] open access
institution OAPEN
collection DSpace
language English
description 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.
title 978-3-658-38154-7.pdf
spellingShingle 978-3-658-38154-7.pdf
title_short 978-3-658-38154-7.pdf
title_full 978-3-658-38154-7.pdf
title_fullStr 978-3-658-38154-7.pdf
title_full_unstemmed 978-3-658-38154-7.pdf
title_sort 978-3-658-38154-7.pdf
publisher Springer Nature
publishDate 2022
url https://link.springer.com/978-3-658-38154-7
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