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Data flow-oriented process mining to support security audits

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2012) 7221 LNCS 171-176
DOI: 10.1007/978-3-642-31875-7_18
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Abstract

The automated execution of dynamically-evolving business processes in service-oriented architectures requires audit methods to assert that they fulfill required security properties. Process mining techniques can provide models for the actual process behavior, but mostly disregard the dynamics of processes running in highly flexible environments and neglect the data flow perspective. This research plan is on novel data-oriented mining techniques to tackle these shortcomings in order to support effective security audits. © 2012 Springer-Verlag.

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APA

Stocker, T. (2012). Data flow-oriented process mining to support security audits. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7221 LNCS, pp. 171–176). https://doi.org/10.1007/978-3-642-31875-7_18

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