Towards a Temporal Multilevel Secure Database (TMSDB)

Abstract

Standard Relational Databases are used to store the state of reality at a single moment of time. Temporal Databases are used to store Time-Varying Data. Multilevel Secure Databases are used to securely store highly sensitive data. Each of these databases serves its purpose well, but if we were to model the temporal and sensitive aspect of the real world data, we will not be able to use any of the previously mentioned databases. Our aim here is to develop a new database model that can be used to model multilevel secure temporal data.

Multilevel Database Security for Android Using Fast Encryption Methods

“…Due to the limited speed and small memory of the smart mobile devices, we need to build a simple and fast systems to protect data in database to enable these systems run on smart mobile devices efficiently. Ramzi and Natalie [3] introduced a new definition of a relational database model based on data confidential in the rows and temporary data which called Temporal Multilevel Secure Database (TMSDB). TMSDB integrates the characteristics of the temporal database model and the database security levels model.…”

Retrieval Optimization Technique for Tuple Timestamp Historical Relation Temporal Data Model

“…Several terminologies can be used to define temporal database like time-varying, time-oriented and historical database systems. Traditional database systems are designed to store and process the state of the reality at a sigle point of time, whearas temporal database have the capability to record and process time-varying aspects of the real in past present and feature world Haraty and Bekaii, (2006). Temporal database With growing sophistication of DBMS applications, the lack of temporal support in conventional DBMS raises serious problems when used to develop temporal database applications.…”

“…Temporal database With growing sophistication of DBMS applications, the lack of temporal support in conventional DBMS raises serious problems when used to develop temporal database applications. Some of the approaches of developing temporal data model suggested extending the standard relational data model so that it supports time varying data and the other approaches are based on extending the snapshot model with time appearing as additional attributes Haraty and Bekaii, (2006). The following approaches which are discussed in Patel (2003) and Torp et al (1999) underline how a temporal database can be created:…”