Negative Database for Data Security

• Published in: International Conference of Computing in Engineering, Science and Information pp. 67 - 70
• Main Authors: Patel, A., Sharma, N., Eirinaki, M.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.04.2009
• Subjects: Application software; Counterfeiting; Cryptography; Data engineering; Data mining; Data security; Database systems; Information retrieval; Information security; Negative; Protection; Security
• ISBN: 9780769535388; 0769535380
• DOI: 10.1109/ICC.2009.54

Data security is a major issue in any Web-based application. There have been approaches to handle intruders in any system, however, these approaches are not fully trustable; evidently data is not totally protected. Real world databases have information that needs to be securely stored. The approach of generating negative database could help solve such problem. A negative database can be defined as a database that contains huge amount of data consisting of counterfeit data along with the real data. Intruders may be able to get access to such databases, but, as they try to extract information, they will retrieve data sets that would include both the actual and the negative data. In this paper we present our approach towards implementing the concept of negative database to help prevent data theft from malicious users and provide efficient data retrieval for all valid users.