A Hybrid Approach for Effective ImageDeduplication Using PCA, SPIHT and Compressive Sensing

Data deduplication technology is known as lossless data compression strategy primarily focuses on the strategy of deletion of repeated data. So, with the use of this technology the cost of data transmission and storage can be considerably reduced. In the facebook or whatsapp applications there is a huge volume of image and video data. If a celebrity tweets on twitter then it will be broadcasted. Famous images are also duplicated number of times. If similar operations of this type occur every time, it will cause a lot of waste of available storage space on the server. So just to increase available storage volume is not going to eradicate the problem. So there should be an image deduplication process that should be applied to the all available social networks worldwide. To increase the security in the deduplication system, it is proposed that the image will be encrypted as well as decrypted with a convergent encryption key which is acquired by mathematical computing the hash cost of the available image data. So there is need of encryption, compression and data deduplication strategy to deal with this type of situation. So the main objective of this paper is to propose a new hybrid compression strategy that can compress the data at suitable dimensions with the help of a suitable encryption technique at client side before compression mechanism. In the end of process the final image of fed to server for the purpose of image deduplication strategy that can remove or delete the duplicated data. Comparison of proposed scheme with the existing searchable encryption schemes with respect to memory size will also be done. The comparison results show the efficiency of proposed scheme.