DocumentCode
2349839
Title
Negative Database for Data Security
Author
Patel, Anup ; Sharma, Niveeta ; Eirinaki, Magdalini
Author_Institution
Comput. Eng. Dept., San Jose State Univ., San Jose, CA, USA
fYear
2009
fDate
2-4 April 2009
Firstpage
67
Lastpage
70
Abstract
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.
Keywords
database management systems; information retrieval; security of data; Web-based application; data retrieval; data security; information extraction; negative database; Application software; Counterfeiting; Cryptography; Data engineering; Data mining; Data security; Database systems; Information retrieval; Information security; Protection; Database; Negative; Security;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing, Engineering and Information, 2009. ICC '09. International Conference on
Conference_Location
Fullerton, CA
Print_ISBN
978-0-7695-3538-8
Type
conf
DOI
10.1109/ICC.2009.54
Filename
5328931
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