DocumentCode :
1822375
Title :
Insuring Sensitive Processes through Process Mining
Author :
Munoz-Gama, Jorge ; Echizen, Isao
Author_Institution :
Univ. Politec. de Catalunya, Barcelona, Spain
fYear :
2012
fDate :
4-7 Sept. 2012
Firstpage :
447
Lastpage :
454
Abstract :
Any system, company or complex task is composed by processes, i.e., sequences of actions performed in some established order. Some of these processes are considered sensitive for the role they play within the system, or for the sensitive data they manage. In such cases, the trust in this processes is desirable, requiring their verification, monitoring, auditing, but also the possibility of being insured by a third party. In this approach we propose a schema for insuring sensitive process based on the use of formal models and Process Mining techniques (i.e. process management techniques that allows for the analysis of processes based on event logs). The experimental results presented show that this new approach could be useful in the context of insurance and analysis of processes.
Keywords :
data mining; formal specification; formal models; process mining; sensitive data; sensitive processes; Analytical models; Companies; Data mining; Insurance; Licenses; Process control; Videos; accountability; insurance schema; process mining; risk; trust model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ubiquitous Intelligence & Computing and 9th International Conference on Autonomic & Trusted Computing (UIC/ATC), 2012 9th International Conference on
Conference_Location :
Fukuoka
Print_ISBN :
978-1-4673-3084-8
Type :
conf
DOI :
10.1109/UIC-ATC.2012.83
Filename :
6332034
Link To Document :
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