Modeling Data Integrity under Stochastic Linear Constraints

10.7903/ijecs.1247

Lee-Pin Shing；Lee-Hur Shing；Marn-Ling Shing；Chen-Chi Shing

Data Integrity Model ； Stochastic Linear Programming ； Risk Management Model

International Journal of Electronic Commerce Studies

6卷2期（2015 / 12 / 01）

233 - 242

英文

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.

1. Aburdene, M.(1988).Computer simulation of dynamic systems.Iowa:Wm. C. Brown Publishing.
2. Banks, J.,Carson, J.,Nelson, B.(1996).Discrete event system simulation.New Jersey:Prentice Hall.
3. Bhat, N.(1972).Elements of applied stochastic processes.New Jersey:John Wiley & Sons.
4. Bishop, M.(2003).Computer security: Art and science.Boston:Addison-Wesley.
5. J. Chinneck, Practical optimization. Retrieved on September 14, 2014, from http://www.sce.carleton.ca/faculty/chinneck/po.html, 2006.
6. Germano, S.,Yadron, D.(2013).Target faces backlash after 20-day security breach.Wall Street Journal,1(1),1-2.
7. Mendelson, E.(2004).Introducing game theory and its applications.New York:Chapman & Hall.
8. Shing, M.,Shing, C.,Shing, L.,Shing, L.(2012).An optimization approach in information security risk management.Advances in Management and Applied Economics,2(1),1-12.
9. Shing, M.,Shing, C.,Shing, L.,Shing, L.(2012).Analysis of N category privacy models.International Journal of Computer Science and Security,6(5),342-358.