Simulation of a Two-Category Secured Access Database
Marn Ling Shing, Chen-Chi Shing, Kuo Lane Chen, Huei Lee · Communications of the IIMA · 2014
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.