A security enhancement for the two way clustering algorithm for image mining

Image mining is one of the mining technique which is used for the mining of the image from the huge databases. The Image mining is used in the various sectors for the prospective use of the mining techniques. The increase in the data theft become one of the biggest challenge for the image repositories. This paper proposes the security architecture for the image repositories which is used for the image mining. The salient featured algorithm called as Imago-Sec Algorithm is proposed and used for the efficient providing of the security to the image repositories which is used for the image mining. The relative mining technique is used for the mining of the data from the image database. The Proposed algorithm is a homomorphic token algorithm which uses a single key contribution for both the encryption and decryption of the data in the image databases. The experimental results thus follow which provides that efficiency and throughput of the security that is being implemented.