A New RSA Image Encryption Algorithm Based on Singular Value Decomposition

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.

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Chaotic Image Encryption Algorithm Based on Bit Permutation and Dynamic DNA Encoding

Computational Intelligence and Neuroscience ◽

10.1155/2017/6919675 ◽

2017 ◽

Vol 2017 ◽

pp. 1-11 ◽

Cited By ~ 16

Author(s):

Xuncai Zhang ◽

Feng Han ◽

Ying Niu

Keyword(s):

Dna Sequence ◽

Image Encryption ◽

Initial Conditions ◽

Chaotic Map ◽

Security Analysis ◽

Encryption Algorithm ◽

Algebraic Operation ◽

Dna Encoding ◽

Spatial Configurations ◽

Image Encryption Algorithm

With the help of the fact that chaos is sensitive to initial conditions and pseudorandomness, combined with the spatial configurations in the DNA molecule’s inherent and unique information processing ability, a novel image encryption algorithm based on bit permutation and dynamic DNA encoding is proposed here. The algorithm first uses Keccak to calculate the hash value for a given DNA sequence as the initial value of a chaotic map; second, it uses a chaotic sequence to scramble the image pixel locations, and the butterfly network is used to implement the bit permutation. Then, the image is coded into a DNA matrix dynamic, and an algebraic operation is performed with the DNA sequence to realize the substitution of the pixels, which further improves the security of the encryption. Finally, the confusion and diffusion properties of the algorithm are further enhanced by the operation of the DNA sequence and the ciphertext feedback. The results of the experiment and security analysis show that the algorithm not only has a large key space and strong sensitivity to the key but can also effectively resist attack operations such as statistical analysis and exhaustive analysis.

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A Framework for Image Encryption on Frequency Domain

Research Anthology on Artificial Intelligence Applications in Security ◽

10.4018/978-1-7998-7705-9.ch016 ◽

2021 ◽

pp. 328-338

Author(s):

Zhe Liu ◽

Mee Loong Yang ◽

Wei Qi Yan

Keyword(s):

Image Encryption ◽

Digital Watermarking ◽

Logistic Map ◽

Low Frequency ◽

Singular Value ◽

Encryption Algorithm ◽

Discrete Wavelet ◽

Secret Key ◽

Value Decomposition ◽

Image Encryption Algorithm

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.

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A Novel Image Encryption Algorithm Using Multiple Encryption Techniques for Mobile Devices

International Journal of Sensors Wireless Communications and Control ◽

10.2174/2210327909666190408094102 ◽

2020 ◽

Vol 10 (2) ◽

pp. 123-142

Author(s):

Showkat Ahmad Bhat ◽

Amandeep Singh

Keyword(s):

Wireless Communication ◽

Communication Networks ◽

Image Encryption ◽

High Speed ◽

Security Analysis ◽

Encryption Algorithm ◽

Multiple Encryption ◽

Communication Devices ◽

Cryptographic Attacks ◽

Image Encryption Algorithm

Background & Objective: Digital multimedia exchange between different mobile communication devices has increased rapidly with the invention of the high-speed data services like LTE-A, LTE, and WiMAX. However, there are always certain security risks associated with the use of wireless communication technologies. Methods: To protect the digital images against cryptographic attacks different image encryption algorithms are being employed in the wireless communication networks. These algorithms use comparatively less key spaces and accordingly offer inadequate security. The proposed algorithm described in this paper based on Rubik’s cube principle because of its high confusion and diffusion properties, Arnold function having effective scrambling power, blocking cipher with block encryption and permutation powers. The main strength of the proposed algorithm lies in the large key spaces and the combination of different high power encryption techniques at each stage of algorithm. The different operations employed on the image are with four security keys of different key spaces at multiple stages of the algorithm. Results & Conclusion: Finally, the effectiveness and the security analysis results shows that the proposed image encryption algorithm attains high encryption and security capabilities along with high resistance against cryptanalytic attacks, differential attacks and statistical attacks.

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