BITS Faculty Publications

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    CryptFine: Towards secure cloud based filtering in encrypted domain
    (IEEE, 2017) Rajput, Amitesh Singh
    Cloud computing is a shift towards increasing the capabilities dynamically without investing in new infrastructure. Enormous storage of data and high-speed computing to customers over the internet can be accomplished using cloud. Security of data in cloud is one of the chief concerns which acts as an obstacle in the realization of cloud computing. Along with quick expansion and application of cloud computing, users concern more and more regarding security and privacy issues involved in these techniques. An efficient method to perform privacy preserving image filtering operations in encrypted domain over cloud is proposed in this paper. The proposed method provides facility for distributed secure processing and storage of the secret image using Shamir's secret sharing method and Chinese remainder theorem. The plain secret image is divided into number of shares in a manner that each share by itself does not reveal any meaningful information about the original image, while collectively, they retain all the information. Two secret keys are used to avail security of image shares and without knowledge of such keys, one cannot restore the secret image back. Hence, the proposed scheme is highly secured and the image can be processed without revealing any information at the cloud data center. Experimental results demonstrate that number of image filtering procedures for enhancement can be carried out efficiently in encrypted domain using the proposed method.
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    Color me, store me, know me not: Supporting image color transfer and storage in encrypted domain over cloud
    (IEEE, 2017) Rajput, Amitesh Singh
    Color transfer is a well known methodology to transfer color between images such that color palette of the resulting image should match as of the reference image. Current trend towards cloud computing has initiated the requirement of performing color transfer remotely by untrusted third party servers. To address this requirement, we present a system that addresses the challenge of performing color transfer between images when the test images are in encrypted form. While standard methods accomplish the task of color transfer in plain domain, our approach is the first known scheme to perform color transfer in encrypted domain. Furthermore, the proposed approach also solves the problem of privacy preserving storage over cloud infrastructures given that the test images can remain in encrypted form without requiring any decryption. Experimental results and security analysis demonstrate the potential and effectiveness of our approach with various application scenarios.
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    Privacy Preserving Image Scaling Using 2D Bicubic Interpolation Over the Cloud
    (IEEE, 2018) Rajput, Amitesh Singh
    This paper presents an efficient scheme for privacy preserving image scaling over the cloud. The proposed scheme advances the emerging trend of privacy preserving cloud computing and supports desired operations required for image scaling in the encrypted domain. We use scaling and randomization followed by modulo operation for generation of image shares and employ 2D bicubic interpolation for scaling user images in the encrypted domain. The previous scheme used bilinear interpolation utilizing four neighboring pixel intensity values to approximate intermediate ones while scaling the image. On the contrary, we use sixteen neighboring pixel intensity values utilizing bicubic interpolation by leveraging considerable efforts to support the processing of user images over cloud servers. The proposed scheme is validated through various experiments followed by a comparison with the existing scheme. Additionally, security analysis demonstrates the robustness of the proposed scheme under various attack scenarios.