Negative Database for Data Security

TL;DR

This paper proposes using negative databases, which contain counterfeit data alongside real data, as a method to enhance data security and prevent theft in web-based applications.

Contribution

It introduces the concept of negative databases for data security and demonstrates their potential to protect against malicious data theft.

Findings

Negative databases can effectively obscure real data from intruders.

The approach allows secure data retrieval for legitimate users.

Negative databases add a layer of security by making data extraction more complex.

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.