Pregled bibliografske jedinice broj: 988804
Systematic Review on Process Mining and Security
Systematic Review on Process Mining and Security // Proceedings of the Central and Eastern European e|Dem and e|Gov Days 2017 / Hendrik, Hansen ; Robert, Müller-Török ; András, Nemeslaki ; Johannes, Pichler ; Alexander, Prosser ; Dona, Scola (ur.).
Budimpešta: Austrian Computer Society (OCG), 2017. str. 145-163 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Systematic Review on Process Mining and Security
Autori
Kelemen, Robert
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the Central and Eastern European e|Dem and e|Gov Days 2017
/ Hendrik, Hansen ; Robert, Müller-Török ; András, Nemeslaki ; Johannes, Pichler ; Alexander, Prosser ; Dona, Scola - Budimpešta : Austrian Computer Society (OCG), 2017, 145-163
ISBN
978-3-903035-14-0
Skup
Central and Eastern European e|Dem and e|Gov Days 2017
Mjesto i datum
Budimpešta, Mađarska, 04.05.2017. - 05.05.2017
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Process mining ; Security ; Systematic Review
Sažetak
Security is an important issue that every organisation should address. One approach to secure systems could be the use of process mining techniques. Process mining is an emerging discipline which can extract knowledge from event logs that are available in information systems. In the security context, Process mining is used to analyse security trails to detect anomalies in process execution. While some of the data mining projects are already implemented in banking, insurance and telecom sector the interesting question is: What is happening in public sector? This paper investigates the research on process mining techniques in security domain and tries to discover the examples of its implementation especially in public sector. The systematic review has been conducted in order to give an overview of state-of-the-art process mining techniques used in security context, to classify the main areas of development, algorithms, tools and to identify possible future research course.
Izvorni jezik
Engleski
Znanstvena područja
Informacijske i komunikacijske znanosti