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020 _a9783658381547
024 7 _a10.1007/978-3-658-38154-7
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
100 1 _aHolderer, Julius
_eautor
_0(orcid)0000-0002-3452-2427
_1https://orcid.org/0000-0002-3452-2427
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aObstructions in Security-Aware Business Processes
_bAnalysis, Detection, and Handling
_cby Julius Holderer
250 _a1st edition 2022
264 1 _aWiesbaden
_bSpringer International Publishing
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (XXI, 341 páginas)
_b119 ilustraciones, 96 ilustraciones a color
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
505 0 _aWhy the Automation of Regulation Can Obstruct Business Processes -- Security-Related Obstructability in Process-Aware Information Systems -- Obstruction Modeling -- OLive-M: A SecANet Use Case for Model-Based Obstruction Solving -- OLive-L: SecANet Use Case for Log-Based Obstruction Solving -- Towards Intelligent Security- and Process-Aware Information Systems -- Bibliography.
506 0 _aOpen Access
520 _aThis 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. About the author Julius Holderer is a researcher in the area of security and compliance in business processes at the Faculty of Engineering of the University of Freiburg (Germany). He is interested in information, IT, and cyber security, as well as policy and process modeling, process automation and mining.
776 0 8 _iPrinted edition:
_z9783658381530
776 0 8 _iPrinted edition:
_z9783658381554
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-658-38154-7
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
988 _aSpringer_Computer_2022
999 _c394790
_d394790