A Robust Sharing Based Encryption Method in Singular Value Decomposition Domain Using Fractional Fourier Transform
Sumit Kumar, Rajib Kumar Jha, Rashi Sharma, A. R. Verma, Yashvir Singh · 2018
The security of the digital images plays a key role in defence and biomedical image processing applications. The algorithm which is to be used for the security of data provides robustness from any inaccurate delivery to the unauthorized user. The concept of share matrix Sm(k,n)for the generation of shares has been explored. These shares provide a backbone to the encryption or security of the confidential data/images. Here, this paper demonstrates the use of share generation concept for encryption of the digital images in the singular value decomposition (SVD) domain. The singular value of the SVD component acts as the right choice to generate the shares of the image. For further enhancement in the robustness, we apply fractional Fourier transform (FrFT). The order of the FrFT (α1, α2) along with the singular vectors (i.e., U and V ) components of the original image works as keys. The state-of-the-art techniques have also been studied along with the proposed technique. Different quantitative parameters such as speed, number of pixels change rate (NPCR), unified average changing intensity (UACI), entropy, correlation coefficient, key sensitivity and mean square error (MSE) have been thoroughly investigated to study the performance of the proposed method. We find that our proposed method works better or sufficiently comparable.