DocumentCode :
2023966
Title :
Information Assurance for Real-Time Decision Support
Author :
Xiao, Liangliang ; Bastani, Farokh ; Yen, I-Ling ; Paul, Raymond
Author_Institution :
Dept. of Comput. Sci., Univ. of Texas at Dallas, Dallas, TX, USA
fYear :
2012
fDate :
11-11 April 2012
Firstpage :
150
Lastpage :
155
Abstract :
Information is an important element in all decision making processes. Also, the quality of information has to be assured in order to support proper decision making in critical systems. In this paper, we present a comprehensive solution to information assurance. First we develop an ontology of information quality metrics, which can be used in assessment as well as in guiding the information processing procedures. To achieve proper information quality assessment, it is necessary to track the information flow as well as detect anomalous information processing flaws. We leverage existing data provenance and anomaly detection technologies and improve them to achieve real-time information quality assessment and problem detection.
Keywords :
decision making; decision support systems; ontologies (artificial intelligence); security of data; anomalous information processing flaw detection; anomaly detection technology; critical systems; data provenance; decision making; information assurance; information flow; information quality metrics; ontology; real-time decision support; real-time information quality assessment; Decision making; Information processing; Measurement; Ontologies; Real time systems; Security; Silicon;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Object/Component/Service-Oriented Real-Time Distributed Computing Workshops (ISORCW), 2012 15th IEEE International Symposium on
Conference_Location :
Shenzhen, Guangdong
Print_ISBN :
978-1-4673-0900-4
Type :
conf
DOI :
10.1109/ISORCW.2012.35
Filename :
6196116
Link To Document :
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