DocumentCode :
2878962
Title :
Fuzzy Multicriteria Decision Analysis for Measurement of Document Content Reliability
Author :
Chin Wei Bong ; Holtby, Derek William ; Kang Siong Ng
Author_Institution :
Inf. Security Lab., MIMOS Berhad, Kuala Lumpur, Malaysia
Volume :
2
fYear :
2012
fDate :
28-29 Oct. 2012
Firstpage :
303
Lastpage :
306
Abstract :
The objective of the paper is to propose a measurement model for trustworthiness of a document to ensure information security. The definition of trustworthiness in this context refers to the reliability value of the information in the document. the document here refers to an article or a web document. The proposed model relates to an approach for assessing trust of data for use of the information consumer. The model helps to capture multiple factors couple with risk profiles in the determination of the trustworthiness of content. It allows consideration of level of confidence and aggregation of attitude towards risk for normalization of a trust index. We use a fuzzy representation to allow the information consumer to decide their confidence level towards the importance of each criterion. the model enables an automated computation method for a straight forward computation for a unique and personalized trustworthiness. The paper also presents an implementation example for practicality of the proposed model.
Keywords :
Internet; decision theory; fuzzy set theory; risk analysis; security of data; text analysis; Web document; article; attitude aggregation; confidence level; content trustworthiness determination; data trust assessment; document content reliability measurement; document trustworthiness measurement model; fuzzy multicriteria decision analysis; fuzzy representation; information consumer; information reliability value; information security; personalized trustworthiness; risk profile; trust index; Computational modeling; Indexes; Internet; Mathematical model; Pragmatics; Vectors; Web pages; Multicriteria decision support; fuzy set theory; fuzzy information modelling and identification; fuzzy preference modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-2646-9
Type :
conf
DOI :
10.1109/ISCID.2012.227
Filename :
6406000
Link To Document :
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