A New Image Encryption Instant Communication Method Based On Matrix Transformation

Zou, Jiancheng; Weng, Tengfan

doi:10.1007/978-3-319-50209-0_39

Cited by 5 publications

(8 citation statements)

References 4 publications

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“…[34] proposed an image processing algorithm based on discrete wavelet transform and multiple chaos. In [35], the Arnold transform is used to encrypt images with high security. [35] is to randomly divide the image into several parts, and then encode each part by Arnold transform to improve security.…”

Section: Introductionmentioning

confidence: 99%

Image Encryption Algorithm Based on Logistic and Two-Dimensional Lorenz

Liang

2020

IEEE Access

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In recent years, experts and scholars in the field of information security have attached great importance to the security of image information. They have proposed many image encryption algorithms with higher security. In order to further improve the security level of image encryption algorithm, this paper proposes a new image encryption algorithm based on two-dimensional Lorenz and Logistic. The encryption test of several classic images proves that the algorithm has high security and strong robustness. This paper also analyzes the security of encryption algorithms, such as analysis of the histogram, entropy process of information, examination of correlation, differential attack, key sensitivity test, secret key space analysis, noise attacks, contrast analysis. By comparing the image encryption algorithm proposed in this paper with some existing image encryption algorithms, the encryption algorithm has the characteristics of large secret key space, sensitivity to the key, small correlation coefficient and high contrast. In addition, the encryption algorithm is used. It can also resist noise attacks.

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Section: Introductionmentioning

confidence: 99%

Image Encryption Algorithm Based on Logistic and Two-Dimensional Lorenz

Liang

2020

IEEE Access

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“…Based on discrete wavelet transform and multi-chaos, an image algorithm was proposed in [19]. The Arnold transformation has been used to encrypt images with high security in [20]. The idea in [20] depended on splitting the image randomly into several parts, and then, each part was coded by the Arnold transformation to increase the security level.…”

Section: Introductionmentioning

confidence: 99%

“…The Arnold transformation has been used to encrypt images with high security in [20]. The idea in [20] depended on splitting the image randomly into several parts, and then, each part was coded by the Arnold transformation to increase the security level. Adopting the classical confusion-diffusion structure, an image encryption algorithm has been introduced by Hua et al based on a 2D logistic-sine-coupling map [21].…”

Section: Introductionmentioning

confidence: 99%

An Algorithm of Image Encryption Using Logistic and Two-Dimensional Chaotic Economic Maps

Askar

Karawia

Al-khedhairi

et al. 2019

Entropy

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In the literature, there are many image encryption algorithms that have been constructed based on different chaotic maps. However, those algorithms do well in the cryptographic process, but still, some developments need to be made in order to enhance the security level supported by them. This paper introduces a new cryptographic algorithm that depends on a logistic and two-dimensional chaotic economic map. The robustness of the introduced algorithm is shown by implementing it on several types of images. The implementation of the algorithm and its security are partially analyzed using some statistical analyses such as sensitivity to the key space, pixels correlation, the entropy process, and contrast analysis. The results given in this paper and the comparisons performed have led us to decide that the introduced algorithm is characterized by a large space of key security, sensitivity to the secret key, few coefficients of correlation, a high contrast, and accepted information of entropy. In addition, the results obtained in experiments show that our proposed algorithm resists statistical, differential, brute-force, and noise attacks.

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“…The news channels on a daily basis have several incidents to report about pirates attacking crew and looting the vessel or hijacking a ship, and even causing harm to the crew when their ransom demands are not met by the authorities. The maritime cloud server monitors the sea and collects a large amount of data [2][3][4][5] by USV video monitoring system; we will take timely and effective measures to deal with different situations by analyzing data. At the same time, it can collect information of a special area and obtain important information by this system, and experts can use these information to study whether the area can be expanded and whether there are available resources further.…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, a novel video encryption algorithm (i.e., Improved Hill encryption algorithm) is proposed, according to specific requirements of the wireless video monitoring system and combining with the research progress of video encryption technology. The algorithm combines with the process of video compression and regulates the parameters of the encryption process according to the content of the video image [4], so that the comprehensive performance of the algorithm is optimal for different image information. The results of the experiment are that the algorithm has good performance in the influence of adjacent pixels, and the information entropy of images is smaller than other algorithms.…”

Section: Introductionmentioning

confidence: 99%

The Improved Hill Encryption Algorithm towards the Unmanned Surface Vessel Video Monitoring System Based on Internet of Things Technology

Yang

Lai

Dong

et al. 2018

Wireless Communications and Mobile Computing

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Depending on the actual demand of maritime security, this paper analyzes the specific requirements of video encryption algorithm for maritime monitoring system. Based on the technology of Internet of things, the intelligent monitoring system of unmanned surface vessels (USV) is designed and realized, and the security technology and network technology of the Internet of things are adopted. The USV are utilized to monitor and collect information on the sea, which is critical to maritime security. Once the video data were captured by pirates and criminals during the transmission, the security of the sea will be affected awfully. The shortcomings of traditional algorithms are as follows: the encryption degree is not high, computing cost is expensive, and video data is intercepted and captured easily during the transmission process. In order to overcome the disadvantages, a novel encryption algorithm, i.e., the improved Hill encryption algorithm, is proposed to deal with the security problems of the unmanned video monitoring system in this paper. Specifically, the Hill algorithm of classical cryptography is transplanted into image encryption, using an invertible matrix as the key to realize the encryption of image matrix. The improved Hill encryption algorithm combines with the process of video compression and regulates the parameters of the encryption process according to the content of the video image and overcomes the disadvantages that exist in the traditional encryption algorithm and decreases the computation time of the inverse matrix so that the comprehensive performance of the algorithm is optimal with different image information. Experiments results validate the favorable performance of the proposed improved encryption algorithm.

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A New Image Encryption Instant Communication Method Based On Matrix Transformation

Cited by 5 publications

References 4 publications

Image Encryption Algorithm Based on Logistic and Two-Dimensional Lorenz

Image Encryption Algorithm Based on Logistic and Two-Dimensional Lorenz

An Algorithm of Image Encryption Using Logistic and Two-Dimensional Chaotic Economic Maps

The Improved Hill Encryption Algorithm towards the Unmanned Surface Vessel Video Monitoring System Based on Internet of Things Technology

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