scholarly journals New Image Encryption Algorithm Based on Diffie-Hellman and Singular Value Decomposition

IJARCCE ◽  
2016 ◽  
Vol 5 (1) ◽  
pp. 197-201 ◽  
Author(s):  
Nidhal Khdhair El Abbadi ◽  
Samer Thaaban Abaas ◽  
Ali Abd Alaziz
Author(s):  
Kai Zhu ◽  
Zizhi Lin ◽  
Yun Ding

There have been many ways to construct an algorithm to encrypt image. Most often the algorithms are based on DNA sequence or other methods. In this paper, we proposed a new method which is based on singular value decomposition. In this approach, we can encrypt a small portion of the data through RSA encryption algorithm. The strength of the proposed method is insured through various statistical and security analysis. It shows that the algorithm has good encryption effect and higher encryption efficiency, which can be applied to the storage and network transmission of military, medical and other digital images.


Author(s):  
Zhe Liu ◽  
Mee Loong Yang ◽  
Wei Qi Yan

In this chapter, the authors propose an improved image encryption algorithm based on digital watermarking. The algorithm combines discrete wavelet transform (DWT), discrete cosine transform (DCT), and singular value decomposition (SVD) together in a DWT-DCT-SVD framework to improve the robust watermarking technique. The secret image is embedded into both high-frequency and low-frequency sub-bands of the host image; this makes it difficult to be attacked in all the sub-bands. To reduce the size of a secret key, the authors use a logistic map to generate random images so as to replace the host images. They tested the algorithm by using five types of attacks and the results indicate that the proposed algorithm has higher robustness than traditional chaotic scrambling method and the DRPE method. It shows strong resilience against the five types of attacks as well as statistical attacks.


Author(s):  
Zhe Liu ◽  
Mee Loong Yang ◽  
Wei Qi Yan

In this chapter, the authors propose an improved image encryption algorithm based on digital watermarking. The algorithm combines discrete wavelet transform (DWT), discrete cosine transform (DCT), and singular value decomposition (SVD) together in a DWT-DCT-SVD framework to improve the robust watermarking technique. The secret image is embedded into both high-frequency and low-frequency sub-bands of the host image; this makes it difficult to be attacked in all the sub-bands. To reduce the size of a secret key, the authors use a logistic map to generate random images so as to replace the host images. They tested the algorithm by using five types of attacks and the results indicate that the proposed algorithm has higher robustness than traditional chaotic scrambling method and the DRPE method. It shows strong resilience against the five types of attacks as well as statistical attacks.


2022 ◽  
Author(s):  
Miao Wang ◽  
Xiulun Yang ◽  
Xiangfeng Meng ◽  
Yurong Wang ◽  
Yongkai Yin ◽  
...  

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