A VARIABLE DATABASE INTEGRITY MAINTENANCE SYSTEM

Data Mining

Maintaining database at the application developer's end needs too many parameters like lease line, servers, licensed software’s and many more. And this is a costlier affair that's why most of the application developers never rely on that. So, to overcome this financial and technical glitches application developers outsource their database storage headache to a third party. Where third parties always have high end infrastructure and sophisticated settings to store the data. The integrity of the data has always been a headache, most of the time this integrity is facing danger from the internal employees of the organization at the third party's end. Some methodologies are existed to tackle this, where they are handling the tampered data tuples and restore them. But they are never going in depth to analyze the facts to find the real culprit, and also, they often suffered with the greater time complexity. So proposed methodology put forwards an idea of handling the variable databases using the recursive bilinear paring and Avalanche Effect. And this process is catalyzed by the techniques of notarization and validation to detect the parameters like who, when and what.

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