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Scalable Compression of Stream Cipher encrypted Images Through Context-Adaptive Sampling

IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY 2014年第11期9卷 1857-1868页

作者： Zhou, Jiantao Au, Oscar C. Zhai, Guangtao Tang, Yuan Yan Liu, Xianming Univ Macau Fac Sci & Technol Dept Comp & Informat Sci Macau Peoples R China UMacau Zhuhai Res Inst Zhuhai 519080 Peoples R China Hong Kong Univ Sci & Technol Dept Elect & Comp Engn Hong Kong Hong Kong Peoples R China Shanghai Jiao Tong Univ Inst Image Commun & Informat Proc Shanghai 200030 Peoples R China Harbin Inst Technol Sch Comp Sci & Technol Harbin 150001 Peoples R China

This paper proposes a novel scalable compression method for stream cipher encrypted images, where stream cipher is used in the standard format. The bit stream in the base layer is produced by coding a series of nonoverlapping patches of the uniformly down-sampled version of the encrypted image. An off-line learning approach can be exploited to model the reconstruction error from pixel samples of the original image patch, based on the intrinsic relationship between the local complexity and the length of the compressed bit stream. This error model leads to a greedy strategy of adaptively selecting pixels to be coded in the enhancement layer. At the decoder side, an iterative, multiscale technique is developed to reconstruct the image from all the available pixel samples. Experimental results demonstrate that the proposed scheme outperforms the state-of-the-arts in terms of both rate-distortion performance and visual quality of the reconstructed images at low and medium rate regions.

关键词： signal processing in encrypted domain scalable coding image compression adaptive sampling

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Separable Robust Reversible Watermarking in encrypted 2D Vector Graphics

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 2020年第8期30卷 2391-2405页

作者： Peng, Fei Jiang, Wen-Yan Qi, Ying Lin, Zi-Xing Long, Min Hunan Univ Sch Comp Sci & Elect Engn Changsha 410082 Hunan Peoples R China Changsha Univ Sci & Technol Sch Comp & Commun Engn Changsha 410114 Peoples R China

To accomplish robust watermark extraction in reversible watermarking both in plaintext domain and encrypted domain, a separable robust reversible watermarking in encrypted 2D vector graphics is proposed in this paper. Firstly, a content owner uses a key to scramble the polar angles of the vertices to encrypt the graphics in the polar coordinate system. Consequently, a watermark embedder maps the encoded watermark segments to different vertices under the control of an embedding key and an HMAC (hash-based message authentication code) function. After that, the polar angle of the vertex is slightly adjusted to embed a watermark. Since the decryption operation does not affect the embedded watermark, the watermark can be extracted both in the plaintext and encrypted domain. Experimental results and analysis show that the proposed scheme can achieve good invisibility and reversibility. It can effectively resist normal operations such as rotation, scaling, translation (RST) and entity reordering, and it has good robustness against malicious attacks such as vertices/entities addition, deletion and modification.

关键词： Watermarking Robustness Graphics Two dimensional displays Encryption Data mining Reversible watermarking robust reversible watermark 2D vector graphics data security signal processing in encrypted domain

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Secure Evaluation of Discrete Sine Transform in Homomorphic encrypted domain 8th

Secure Evaluation of Discrete Sine Transform in Homomorphic ...

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8th International Conference on Artificial Intelligence and Security (ICAIS)

作者： Zeng, Huicong Cai, Zhiwei Zheng, Peijia Liu, Hongmei Luo, Weiqin Sun Yat Sen Univ Sch Comp Sci & Engn Guangdong Key Lab Informat Secur Technol Guangzhou 510006 Peoples R China Chinese Acad Sci Inst Informat Engn State Key Lab Informat Secur Beijing 100093 Peoples R China

ISBN: (纸本)9783031067884;9783031067877

Discrete sine transform (DST) is widely used in compression encoding, image processing, and speech enhancement. In cloud computing, outsourcing plaintext data to the cloud has the risk of private data leakage. In this paper, we study how to realize data computation outsourcing with privacy protection. We propose a scheme to implement DST in the encrypted domain that uses the scaling method to represent decimals. To improve the accuracy, we also propose a new scheme to implement high precision encrypted domain DST. We approximate complex numbers with high precision using integer coefficient polynomials whose independent variable is a unit root. With this representation, we can perform DST in the encryption domain with high precision. We conducted experiments to verify the effectiveness and efficiency. The two schemes have the advantages of high speed and high precision, respectively.

关键词： signal processing in encrypted domain Discrete sine transform Homomorphic encryption BGV cryptosystem Cloud computing

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Reversible Data Hiding in encrypted AMBTC Compressed Images 15th

Reversible Data Hiding in Encrypted AMBTC Compressed Images

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15th International Workshop on Digital-Forensics and Watermarking 2016 (IWDW)

作者： Niu, Xuejing Yin, Zhaoxia Zhang, Xinpeng Tang, Jin Luo, Bin Anhui Univ Key Lab Intelligent Comp & Signal Proc Minist Educ Hefei 230601 Anhui Peoples R China Shanghai Univ Sch Commun & Informat Engn Shanghai 200072 Peoples R China

ISBN: (纸本)9783319534640;9783319534657

signal processing in encrypted domain has attracted high attention during the needs of content security and privacy protection. Reversible data hiding in encrypted images (RDH-EI) also becomes a hot topic. However, most of the published techniques are designed for uncompressed images rather than JPEG-, VQ- and BTC-compressed images. In this paper, for the first time, a RDH-EI method for AMBTC images is proposed. In this method, the higher mean and lower mean of a triple in AMBTC compressed image is encrypted by using stream cipher with the same random bits. Therefore, the spatial correlation of a nature image is preserved and redundant space can be exploited by using the histogram of prediction error. Experimental results demonstrate that the proposed method can embed considerable bits while leave little distortion.

关键词： signal processing in encrypted domain Privacy protection Block Truncation Coding Reversible Data Hiding in encrypted Images

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AN ANALYSIS ON BITWISE OPERATIONS IN THE encrypted domain

AN ANALYSIS ON BITWISE OPERATIONS IN THE ENCRYPTED DOMAIN

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Chui, Sung-Him Au, Oscar C. Kwok, Chun-Wing Li, Yujun Xu, Lingfeng Sun, Wenxiu Hong Kong Univ Sci & Technol Dept Elect & Comp Engn Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9781612843490

When encrypted data need to be sent to an untrusted computer for processing, it is highly desirable to have a homomorphic cryptosystem that allows the untrusted computer to process the encrypted signals totally without decryption such that, when the encrypted domain result is decrypted, the decrypted value is the same as the equivalent plaintext domain operation. These operations range from basic arithmetic operations to complicated transformations. In this paper, we analyze the existence of equivalent operations in the encrypted domain for four of the common bitwise operations: OR, AND, NOR and NAND in plaintext domain. We will show that such equivalent operations should not exist. For otherwise, if such operations exist, the RSA cryptosystems can be broken by a low-complexity attack.

关键词： signal processing in encrypted domain homomorphic encryption

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Privacy-Preserving Outsourcing Computation of QR Decomposition in the encrypted domain 18

Privacy-Preserving Outsourcing Computation of QR Decompositi...

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18th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom) / 13th IEEE International Conference on Big Data Science and Engineering (IEEE BigDataSE)

作者： Zhang, Yonghong Zheng, Peijia Luo, Weiqi Sun Yat Sen Univ Sch Data & Comp Sci GuangDong Prov Key Lab Informat Secur Technol Guangzhou 510006 Peoples R China

ISBN: (纸本)9781728127767

signal processing in encrypted domain has become an important mean to protect privacy in an untrusted network environment. Due to the limitations of the underlying encryption methods, many useful algorithms that are sophisticated are not well implemented. Considering that QR decomposition is widely used in many fields, in this paper, we propose to implement QR decomposition in homomorphic encrypted domain. We firstly realize some necessary primitive operations in homomorphic encrypted domain, including division and open square operation. Gram-Schmidt process is then studied in the encrypted domain. We propose the implementation of QR decomposition in the encrypted domain by using the secure implementation of Gram-Schmidt process. We conduct experiments to demonstrate the effectiveness and analyze the performance of the proposed outsourced QR decomposition.

关键词： signal processing in encrypted domain QR Decomposition Somewhat Homomorphic Encryption Gram-Schmidt process

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Secure Homomorphic Evaluation of Discrete Cosine Transform with High Precision 20

Secure Homomorphic Evaluation of Discrete Cosine Transform w...

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20th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom)

作者： Cai, Zhiwei Zeng, Huicong Zheng, Peijia Cheng, Ziyan Luo, Weiqi Liu, Hongmei Guangdong Key Lab Informat Secur Technol Sch Comp Sci & Engn Guangzhou Peoples R China Chinese Acad Sci Inst Informat Engn State Key Lab Informat Secur Beijing Peoples R China

ISBN: (纸本)9781665416580

signal processing in the encrypted domain (SPED) has received considerable attention as it aims at privacy-preserving solutions for various applications. Discrete cosine transform (DCT) is a popular signal transform widely used in signal processing. It has many applications in speech processing, still picture coding, image and video transformation, compression coding, and so on. In this paper, we mainly study how to implement DCT in the encryption domain with high precision. We propose a new scheme to implement encrypted domain DCT. This scheme encodes a complex number as a unit root polynomial in the evaluation, and realizes the high precision representation of complex numbers. With this representation, this scheme can also realize the high precision representation of decimals. To improve the computational efficiency, we also propose a fast implementation of DCT in the encryption domain, which can significantly improve the DCT speed for large-scale matrices. We conducted experiments to verify the effectiveness and efficiency. When the matrix size is small, our original method has the advantages of both high accuracy and fast speed. When the matrix size is large, the fast implementation outperforms the original method.

关键词： signal processing in encrypted domain FFT Fast DCT Homomorphic encryption BGV cryptosystem

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