Database security is a discipline that seeks methods to protect data stored at DBMSs from intrusions, improper modifications, theft, and unauthorized disclosure of private information. This is realized through a set of security services, which meet the security requirements of both the system and the data sources. A number of different techniques and approaches has been developed to assure data...

Relational Database Management Systems (RDBMS) is collection of applications that manage the storage, retrieval, and manipulation of database data. At the industry level SQL Server, Oracle, Sybase, DB2, MySQL, and other popular database applications are widely accepted as RDBMSs. As in the current scenario large data security breaches are occurring at a very high rate so we aim here to excavate...

Security concerns must be addressed when developing a distributed database. When choosing between the objectoriented model and the relational model, many factors should be considered. The most important of these factors are single level and multilevel access controls, protection against inference, and maintenance of integrity. When determining which distributed database model will be more secur...

Encryption provides strong security for databases. To develop a database encryption strategy, many factors must be taken into consideration. Organizations must balance between the requirement for security and the desire for excellent performance. In this paper a novel encryption algorithm is proposed “Reverse Encryption Algorithm (REA)”. The proposed algorithm REA is simple and yet leads to a c...

One major difficulty faced by organizations is the protection of data against malicious access. Six security mechanisms, namely, authentication, authorization, access control, auditing, encryption and integrity control are available in Oracle 10g database management systems (DBMS). These are implemented for protecting data. These typical database security mechanisms are not able to detect and h...

Nowadays due to the advancements in spatial data acquisition technologies, data acquisition technologies are producing mass high precision spatial data. To store such high precision data onto the database is a big challenge today. Spatial database is different from relational database as it contains data along with its location, so security concerns of spatial database are also different from r...

Conflicts in database systems with both real-time and security requirements can sometimes be unresolvable. We attack this problem by allowing a database to have partial security in order to improve on real-time performance when necessary. By our definition, systems that are partially secure allow security violations between only certain levels. We present the ideas behind a specification langua...