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Li-Hua Gong

Bio: Li-Hua Gong is an academic researcher from Nanchang University. The author has contributed to research in topics: Encryption & Quantum cryptography. The author has an hindex of 23, co-authored 74 publications receiving 2076 citations. Previous affiliations of Li-Hua Gong include University of Pittsburgh & Nanchang Hangkong University.


Papers
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Journal ArticleDOI
TL;DR: A new image compression–encryption hybrid algorithm is proposed to realize compression and encryption simultaneously, where the key is easily distributed, stored or memorized.
Abstract: The existing ways to encrypt images based on compressive sensing usually treat the whole measurement matrix as the key, which renders the key too large to distribute and memorize or store. To solve this problem, a new image compression–encryption hybrid algorithm is proposed to realize compression and encryption simultaneously, where the key is easily distributed, stored or memorized. The input image is divided into 4 blocks to compress and encrypt, then the pixels of the two adjacent blocks are exchanged randomly by random matrices. The measurement matrices in compressive sensing are constructed by utilizing the circulant matrices and controlling the original row vectors of the circulant matrices with logistic map. And the random matrices used in random pixel exchanging are bound with the measurement matrices. Simulation results verify the effectiveness, security of the proposed algorithm and the acceptable compression performance.

282 citations

Journal ArticleDOI
TL;DR: Numerical simulations demonstrate that the proposed novel nonlinear image encryption scheme is robust with noise immunity, sensitive to the keys, and outperforms the conventional linear encryption methods to counteract some attacks.

213 citations

Journal ArticleDOI
TL;DR: Simulation results verify the effectiveness and reliability of the proposed image compression and encryption algorithm with considerable compression and security performance.
Abstract: For a linear image encryption system, it is vulnerable to the chosen-plaintext attack. To overcome the weakness and reduce the correlation among pixels of the encryption image, an effective image compression and encryption algorithm based on chaotic system and compressive sensing is proposed. The original image is first permuted by the Arnold transform to reduce the block effect in the compression process, and then the resulting image is compressed and re-encrypted by compressive sensing, simultaneously. Moreover, the bitwise XOR operation based on chaotic system is performed on the measurements to change the pixel values and a pixel scrambling method is employed to disturb the positions of pixels. Besides, the keys used in chaotic systems are related to the plaintext image. Simulation results verify the effectiveness and reliability of the proposed image compression and encryption algorithm with considerable compression and security performance.

164 citations

Journal ArticleDOI
TL;DR: The simulation results demonstrate that the proposed image encryption algorithm based on the PTSTFrFT is secure and robust enough against the common attacks.

129 citations

Journal ArticleDOI
TL;DR: Simulation results demonstrate that the proposed image encryption scheme with acceptable robustness is secure against exhaustive attack, statistical attack and differential attack.
Abstract: An image encryption scheme is proposed using high-dimensional chaotic systems and cycle operation for DNA sequences. In the scheme, the pixels of the original image are encoded randomly with the DNA coding rule controlled by a key stream produced from Chen’s hyper-chaos. In addition to confusion on the DNA sequence matrix with Lorenz system, a cycle operation for DNA sequences is projected to diffuse the pixel values of the image. In order to enhance the diffusion effect, a bitwise exclusive-OR operation is carried out for the decoded matrices with a binary key stream, and then the cipher-image is obtained. Simulation results demonstrate that the proposed image encryption scheme with acceptable robustness is secure against exhaustive attack, statistical attack and differential attack.

127 citations


Cited by
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01 Jun 2005

3,154 citations

Journal ArticleDOI
TL;DR: A cosine-transform-based chaotic system (CTBCS) that can produce chaotic maps with complex dynamical behaviors and an image encryption scheme that provides a higher level of security than several advanced image encryption schemes.

463 citations

Journal ArticleDOI
Lu Xu1, Zhi Li1, Jian Li1, Wei Hua1
TL;DR: A novel bit-level image encryption algorithm that is based on piecewise linear chaotic maps (PWLCM) that is both secure and reliable for image encryption.

449 citations

Journal ArticleDOI
Xiuli Chai1, Fu Xianglong1, Zhihua Gan1, Yang Lu1, Yi Chen2 
TL;DR: A four-wing hyperchaotic system is used to provide pseudo-random chaotic sequences, SHA 384 hash function of the plain image and external parameters are combined to compute its initial values, and one-time-pad encryption policy makes the proposed encryption effectively resist plaintext attacks.

401 citations