earticle

영어

Perceptual encryption (PE) is becoming popular for protecting image data as they are computationally inexpensive and retain certain image properties that are necessary for compression. PE methods not only provide security during transmission of image data but can also enable privacy-preserving computations on them. However, the presence of color information in the cipher image makes the existing PE algorithms vulnerable to jigsaw puzzle attacks. Therefore, this paper presents an extension of block-based PE methods that utilizes different keys for each color component when changing orientation of a block and pixel values in a block. Thus, offers better encryption performance as the color distribution of the original is changed significantly and the keyspace is expanded. The analysis on Tecnick dataset shows that the proposed PE method preserves compression performance of the existing methods while improving their encryption efficiency. In addition, the main advantage of the proposed method is that of being compatible with a widely used JPEG image standard, which makes it suitable for different outsourced multimedia applications such as, privacy-preserving deep learning, cloud-based photo storage, and social networking services.