Enhanced Database Security using Genetic Algorithm

Abstract

: In today’s era, databases tend to be an important element in many organizations for storing their confidential information. Because of rapid growth in telecommunication industry, these relational databases are openly available in the collaborative environments for information gain. This has eventually led to data thefts which degrades the performance of the database. Hence it is very essential to protect the database from various security attacks like insertion, deletion or alteration of data. Over these years, many encryption techniques have been proposed to protect the database from unauthorized database. Traditional database security techniques make changes in the database, which greatly compromise the quality of data in the data base. This paper discusses the performance of genetic algorithm compared with other data encryption techniques. We have investigated the system under different malicious environments. The Experimental result shows the effectiveness and performance of the system for both numeric as well as non-numeric relational database.