In most organizations the historical dataset is dynamic which means it is periodically updated with fresh data. In such an environment, when the counterpart organizations need to share their information for a decision making strategy in a periodical way, the protection of sensitive knowledge need to be done as a recurring activity, especially if the dataset has been significantly updated. In this scenario, it would not be effective to perform the process of preserving sensitive knowledge in the updated database as a whole repeatedly. Hence this work proposes an incremental approach for knowledge protection in dynamic databases.