Databases privacy (through encryption)
Introduction
Organization do value their database security. Databases are a treasure trove of sensitive information that contain data ranging from the customers’ personal information and confidential competitive information to the organization intellectual property. If lost or stolen, data, especially those relating to the customer data do result in damage of the brand image, competitive disadvantages and the severe fines. As a result, database privacy of security is a top priority for the organization IT director (Hamdaoui, 2017). Traditional databases security still exposes such crucial information and is not sufficient in protecting the business. The modern means of database security which involved encryption is a more secure method of ensuring an organization databases security and privacy. In terms of the databases encryption, the encryption secures actual data within the databases and protects backups. Database privacy through encryption means that data of an organization remains safe even in the scenario where there is a breach of data.
Modern approaches in the database encryptions like the use of the transparent data encryption TDE architectures introduced by Oracle and Microsoft enables an organization to deploy database encryption because TDE does not e dandy alternation to the database applications. However, despite its success, database security through encryption has critical challenges. The most conspicuous change being that encryption key management which is the essential tool remains a stumbling block (Sampalli, 2017, September). For most organization, getting proper key management for the implementation of the encryption remains a challenge. This aspect of database security remains a barrier for the most organization to achieve the best encryption and have from time to time their data exposed to authorized persons.
References
Alsirhani, A., Bodorik, P., & Sampalli, S. (2017, September). Improving database security in cloud computing by fragmentation of data. In 2017 International Conference on Computer and Applications (ICCA) (pp. 43-49). IEEE.
Grissa, M., Yavuz, A. A., & Hamdaoui, B. (2017). Location privacy preservation in database-driven wireless cognitive networks through encrypted probabilistic data structures. IEEE Transactions on Cognitive Communications and Networking, 3(2), 255-266.