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Huffman-code based retrieval for encrypted JPEG images

机译:基于霍夫曼代码的加密JPEG图像的检索

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摘要

This paper proposes a retrieval scheme for encrypted JPEG images, based on Huffman code in the JPEG bitstream. Three parties are involved: content owner, cloud server, and authorized user. First, the content owner produces encrypted images by jointly using a stream cipher, permutation cipher, then uploads them to a cloud server. Especially, the conversion between encrypted quantization tables is still valid. With the same secret key, the authorized user submits the encrypted query image to the server. Second, the server extracts Huffman-code histogram from the encrypted image as a feature. Although the Huffman-code histogram is changed during encryption, encrypted images with similar content to the query image are returned to the user after feature comparison. Finally, through decryption and hash verification, the user can obtain authenticated plaintext images. Experimental results show that the proposed scheme ensures confidentiality, integrity and format compatibility, while image retrieval of different quality factors is still effective. (C) 2019 Elsevier Inc. All rights reserved.
机译:本文提出了一种基于JPEG比特流中的Huffman代码的加密JPEG图像的检索方案。涉及三方:内容所有者,云服务器和授权用户。首先,内容所有者通过使用流密码,置换密码共同生成加密图像,然后将它们上载到云服务器。特别是,加密量化表之间的转换仍然有效。使用相同的秘密密钥,授权用户将加密的查询映像提交到服务器。其次,服务器将霍夫曼码直方图从加密图像中提取为特征。尽管在加密期间改变了霍夫曼码直方图,但是在特征比较之后,将具有与查询图像类似的内容的加密图像返回给用户。最后,通过解密和哈希验证,用户可以获得经过身份验证的明文图像。实验结果表明,该方案确保了机密性,完整性和格式兼容性,而不同质量因素的图像检索仍然有效。 (c)2019 Elsevier Inc.保留所有权利。

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