Securing Relational Databases with an Artificial Immunity Features

Database security is considered one of the major computer science research trends because of its importance in maintaining the privacy, integrity, and confidentiality of data. Human immune system is a set of defense mechanisms that can be used to defend the body against diseases caused by pathogens. Artificial immune system is the artificial simulation of human immunity that can be applied to computer security applications. The main goal of this paper is to develop a database security system based on danger theory. Danger theory is one of the most recent algorithms of artificial immunity that can provide interactive features for securing relational databases. By merging the developed features of artificial immunity to the security system, the secrecy of the database can be maintained.