Title

Simulation of a two-category secured access database

Document Type

Article

Publication Date

2009

Department

Computer Information Systems

Abstract

Electronic commerce users continually access sensitive information on business databases through the Internet. In order to protect databases from unauthorized access, confidentiality policies must be applied. Confidentiality of the database is often protected by data encryption or proprietary software. It can be protected by a monitoring system using Markov Chain and Bell-LaPadula Models. In this paper, a two category secured access database model by semi-Markov chains is discussed. This paper simulates this simplified two category secured access database model, and issues on security management are also addressed. [PUBLICATION ABSTRACT]