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MODELING DATA INTEGRITY UNDER STOCHASTIC LINEAR CONSTRAINTS

International Journal of Electronic Commerce Studies

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Title MODELING DATA INTEGRITY UNDER STOCHASTIC LINEAR CONSTRAINTS
 
Creator Shing, Lee-Pin; Virginia Tech
Shing, Lee-Hur; Virginia Tech
Shing, Marn-Ling; University of Taipei
Shing, Chen-Chi; Radford University
 
Subject Data Integrity Model; Stochastic Linear Programming; Risk Management Model
 
Description The most commonly used data integrity models today are Bibba, Wilson-Clark and Chinese models. These models are designed for both data integrity protection and confidentiality. Many optimization problems are related to linear programming. In practice, these variables involved are probabilistic. This paper proposes a data integrity model based on data anomalies assuming data are under stochastic linear constraints. An algorithm is constructed using the simplex method to find confidence intervals for the problem solutions. In the end the results from Monte Carlo simulation are compared with those from simplex method.To cite this document: Lee-Pin Shing, Lee-Hur Shing, Marn-Ling Shing, and Chen-Chi Shing, "Modeling data integrity under stochastic linear constraints", International Journal of Electronic Commerce Studies, Vol.6, No.2, pp.233-242, 2015.Permanent link to this document: http://dx.doi.org/10.7903/ijecs.1247
 
Publisher Academy of Taiwan Information Systems Research
 
Contributor —
 
Date 2015-01-30
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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Format application/pdf
 
Identifier http://academic-pub.org/ojs/index.php/ijecs/article/view/1247
 
Source International Journal of Electronic Commerce Studies; Vol 6, No 2 (2015); 233-242
2073-9729
 
Language eng
 
Relation http://academic-pub.org/ojs/index.php/ijecs/article/view/1247/294
http://academic-pub.org/ojs/index.php/ijecs/article/downloadSuppFile/1247/18
 
Rights Copyright (c) 2015 International Journal of Electronic Commerce Studies