Modified K-Means Algorithm for Implementing Intrusion Detection

Protection saving Data mining manages concealing an individual's delicate character without yielding the ease of use of information. It has turned into a vital range of concern yet at the same time this branch of examination is in its earliest stages .People today have turned out to be very much aware of the security Intrusions of their touchy information and are extremely hesitant to share their data. The primary thought in security protecting information mining is twofold. To start with, touchy crude information ought to be adjusted or trimmed out from the first database, all together for the beneficiary of the information not to have the capacity to bargain protection. Second, touchy information which can be mined from a database by utilizing information mining calculations ought to additionally be prohibited. The primary target in security protecting information mining is to create calculations for altering the first information somehow, so that the private information and learning stay private even after the mining process. In our paper we have compared the Intrusion detection via K-Means and Modified K-Means and get the better results in attack detection.