Facial Image Encryption Using Enhanced Xor Operation for Secured Transimssion on Cloud Storage
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Abstract
The study highlights the significance of security and privacy in image transmission over cloud platforms, especially considering the sensitive nature of personal information involved in facial image recognition. To address this concern, the study proposes the use of image encryption, with a focus on optimising transmission time, which is crucial for real-time facial image identification and authentication. Initially, the author segmented the images into smaller parts, with segment sizes of 3x1, 3x2, and 3x3. This segmentation facilitates efficient processing and transmission and post that the proposed study uses the XOR encryption technique for encrypting images. XOR encryption is chosen for its simplicity and computational efficiency. An experiment was conducted to evaluate the proposed method. Overall, the study contributes to the field of secure image transmission over cloud platforms, particularly in the context of facial image recognition. By leveraging XOR encryption and optimizing segmentation techniques, the proposed method offers a promising solution for ensuring both security and efficiency in image transmission processes.