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Lossless Data Hiding Based on Homomorphic Cryptosystem

机译:基于同型密码系统的无损数据隐藏

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With the development of cloud server, reversible data hiding in encrypted domain has received widespread attention for management of encrypted media. Most of existing reversible data hiding methods are based on stream ciphers, which are mainly concerned with data storage security. While homomorphic ciphers focus on data processing security, which is popular in cloud and other third-party platforms. Reversible data hiding with homomorphic cryptography has been an active topic in the research filed. In this paper, we propose a new lossless data hiding method based on homomorphic cryptosystem. After a content owner generates encrypted media with homomorphic ciphers, a data hider embeds secret data by establishing a mapping between secret bits and losslessly modifying encrypted media. At the receiver side, the embedded data is extracted from encrypted domain with a little auxiliary message. And original media is recovered by directly decrypting marked encrypted media. During the embedding process, the modification of encrypted media does not change the corresponding original media owing to homomorphic and probabilistic properties. Thus, no distortion is introduced in the whole procedures of data embedding. And directly decrypted media containing embedded data is the same as the original media. Meanwhile, the proposed method achieves a high embedding rate through efficient mapping and skillful use of expanded pixel values. The experimental results show that compared with state-of-the-art methods, the proposed method has higher embedding rate without distortion.
机译:随着云服务器的开发,在加密域中隐藏的可逆数据已经接受了加密媒体管理的广泛关注。大多数现有的可逆数据隐藏方法基于流密码流,主要涉及数据存储安全性。虽然同性恋密码专注于数据处理安全性,但在云和其他第三方平台中流行。隐藏着同种形态密码学的可逆数据一直是在研究中的积极主题。本文提出了一种基于均匀密码系统的新型无损数据隐藏方法。在内容所有者生成具有同型密码的加密介质之后,数据习惯通过在秘密比特和无损修改加密媒体之间建立映射来嵌入秘密数据。在接收器侧,嵌入数据从加密域中提取,具有一点辅助消息。通过直接解密标记的加密媒体,通过直接恢复原始介质。在嵌入过程中,由于同态和概率性质,加密介质的修改不会改变相应的原始介质。因此,在数据嵌入的整个过程中没有引入失真。并直接解密包含嵌入式数据的媒体与原始媒体相同。同时,通过高效的映射和熟练使用扩展像素值来实现高嵌入速率。实验结果表明,与最先进的方法相比,所提出的方法具有更高的嵌入速率而不会失真。

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