Using data mining confidence and support for privacy preserving secure database

Abstract EN

This research introduces suggestion to secure the results of the data mining.

For privacy preserving secure databases, we aim to hide the general secure and sensitive rules from appearing as a result of applying association rules techniques.

This could be done by making the confidence of secure rules equal to zero by modifying the supports of critical and sensitive items in these rules.

Data mining is a process that uses a variety of data analysis tools to discover patterns and relationships that can be hidden among vast amount of data.

The results patterns of data mining (dm) such as association rules, classes, clusters, etc, will be readily available for working team.

So the mining will penetrate the privacy of sensitive data and make the stolen of the knowledge resulting easier.