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