【摘 要】
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Signal processing in the encrypted domain becomes a desired technique to protect privacy of outsourced data in cloud.In this presentation,we describe a double-cipher scheme to implement nonlocal means
【出 处】
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第4届密码学与云计算安全国际会议(CCCS2016)
论文部分内容阅读
Signal processing in the encrypted domain becomes a desired technique to protect privacy of outsourced data in cloud.In this presentation,we describe a double-cipher scheme to implement nonlocal means(NLM)denoising in encrypted images.In this scheme,one ciphertext is generated by the Paillier scheme,which enables the mean filter,and the other is obtained by a privacy-preserving transform,which enables the nonlocal search.By the privacy-preserving transform,the cloud server can search the similar pixel blocks in the ciphertexts with the same speed as in the plaintexts; thus,the proposed method can be executed fast.To enhance the security,we randomly permutate both ciphertexts.To reduce the denoising complexity caused by random permutation,a random NLM method is exploited in the encrypted domain.
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