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.

Highlights

  • Conventional relational databases were designed to capture reality

  • Our aim in this study is to present the definition of a new relational database model, a model that combines both the properties of the temporal database model and the multilevel secure database model, a model that supports both recording of secret and temporal data

  • Example 6: A U-user logs on to the TMSDB applications and executes the following SQL query: and secure transaction processing, while in temporal databases the main concern is the addition of time support to record historical, present and future data

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Summary

INTRODUCTION

Conventional relational databases were designed to capture reality. They present some aspect of the real world. Historical background: Several relational models for multilevel secure databases have been proposed over the years All of these proposals implement the policy of mandatory access protection defined[1]. In general all the multilevel relational data models were based on the mandatory access policies and the concept of tuple polyinstantiation, as for the additional integrity constraints they differed from one data model to another, some were alike, some were based on those defined in other models and some were totally different. This historical model is a consistent extension of the traditional relational data model It supported the recording of time varying data, modeled relationships over time and enforced referential integrity constraints with respect to the added temporal dimension. This study introduces the two models for multilevel security the parametric model and the WSQ model and shows that queries can be expressed more naturally in the parametric model

MULTILEVEL SECURE DATABASES
TEMPORAL DATABASES
TEMPORAL MULTILEVEL SECURE DATABASES MODEL
Miles S Marshal
Johnson U Johnson U
ID Name
MODEL MODIFICATIONS
MODEL IMPLEMENTATION
CONCLUSION
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