A Novel Chaotic Block Image Encryption Algorithm Based on Deep Convolutional Generative Adversarial Networks

Fang, Pengfei; Liu, Ran; Wu, Chengmao

doi:10.1109/access.2020.3040573

Cited by 21 publications

(6 citation statements)

References 57 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They reflect the degree of change after adjusting a specific pixel value of the plaintext image at random and show the link between the number of changes in the encrypted image's pixel values and the change degree. Even the slightest change in the plaintext image's pixel value can substantially alter the ciphertext image, which indicates that the encryption technique has a high resistance to differential attacks [40]. Table 8 demonstrates that the use of three color images evaluated the performance of opposing various attacks, and the findings suggest that this work is highly reliant on the input original image to deal with differential attacks.…”

Section: G Differential Attack Analysismentioning

confidence: 97%

Provably Secure and Fast Color Image Encryption Algorithm Based on S-Boxes and Hyperchaotic Map

Abduljabbar

Abduljaleel

et al. 2022

IEEE Access

View full text Add to dashboard Cite

The World Wide Web is experiencing a daily increase in data transmission because of developments in multimedia technologies. Consequently, each user should prioritize preventing illegal access of this data by encrypting it before moving it over the Internet. Numerous color image encryption schemes have been developed to protect data security and privacy, indifferent to the computation cost. However, most of these schemes have high computational complexities. This research proposes a fast color image scrambling and encryption algorithm depending on different chaotic map types and an S-box that relies on a hyperchaotic map principle. The first step involves converting color image values from decimal representation to binary representation in the scrambling stage by changing the location of the bits according to a proposed swapping algorithm. Next, in the second scrambling stage, the same process occurs after returning color image values from binary representation to decimal representation and generating an Sbox with the assistance of two types of chaotic map, namely, a 2D Zaslavsky map and a 3D Hénon map. Thus, this S-box is relied upon to swap the locations of the pixels in the color image. The encryption procedure begins with the production of three key matrices using a hybrid technique that employs two low-complexity types of chaotic map, namely, a 1D Logistic map and a 3D Hénon map, followed by an XORed as a lightweight process between each key generated for the three matrices and the corresponding red, green, and blue image channels. According to the findings, the proposed scheme demonstrates the most efficiency in terms of lowering the computational cost and shows its effectiveness against a wide range of cryptographic attacks.

show abstract

Section: G Differential Attack Analysismentioning

confidence: 97%

Provably Secure and Fast Color Image Encryption Algorithm Based on S-Boxes and Hyperchaotic Map

Abduljabbar

Abduljaleel

et al. 2022

IEEE Access

View full text Add to dashboard Cite

show abstract

“…A common use for neural networks in chaotic image encryption is to generate the key streams. This can be seen in a proposal by Han et al [175], where a Hermite chaotic network was trained from a logistic map, and in a proposal by Fang et al [251].…”

Section: Neural Network In Chaotic Image Encryptionmentioning

confidence: 97%

Chaotic Image Encryption: State-of-the-Art, Ecosystem, and Future Roadmap

Zolfaghari

Koshiba

2022

ASI

View full text Add to dashboard Cite

Recently, many researchers have been interested in the application of chaos in cryptography. Specifically, numerous research works have been focusing on chaotic image encryption. A comprehensive survey can highlight existing trends and shed light on less-studied topics in the area of chaotic image encryption. In addition to such a survey, this paper studies the main challenges in this field, establishes an ecosystem for chaotic image encryption, and develops a future roadmap for further research in this area.

show abstract

“…In [165], Fang et al proposed another block-based image encryption scheme that uses deep convolutional generative adversarial networks (DCGANs), quaternions, an improved Feistel network [166], and a comprehensive scramblingdiffusion process. Their proposed encryption scheme involved creating a new hyperchaotic system that is integrated with DCGANs to generate a complex key stream.…”

Section: A Adversarial Neural Network With Chaosmentioning

confidence: 99%

Advances and Vulnerabilities in Modern Cryptographic Techniques: A Comprehensive Survey on Cybersecurity in the Domain of Machine/Deep Learning and Quantum Techniques

Mehmood,

Shafique,

Alawida

et al. 2024

IEEE Access

View full text Add to dashboard Cite

In the contemporary landscape, where a huge amount of data plays a vital role, the importance of strong and robust cybersecurity measures has become increasingly paramount. This research proposes a review and extensively explores cybersecurity techniques within the domain of machine/deep learning and quantum techniques, with a particular focus on cryptographic methods and methodologies applied to image encryption. The proposed survey covers a range of cybersecurity techniques, including quantum random number generation, secure transmission of quantum images, watermarking through quantum methods, and quantum steganography. Moreover, it explores the domain of image encryption, which integrates adversarial neural networks, deep learning and machine learning, transformation techniques, and chaotic neural networks that can be used to secure digital data from cyber attacks. Our focus extends beyond highlighting advances in investigating vulnerabilities in existing cryptographic techniques. By identifying the challenges and weaknesses, the potential solutions are also presented, establishing a foundation for future recommendations. These future suggestions address and overcome the vulnerabilities observed in existing cybersecurity techniques. The aim of the extensive survey and analysis of existing cryptographic techniques is to provide a deep understanding of innovative and diverse approaches within the cybersecurity domain. Simultaneously, it aims to create a roadmap for the future to counter potential cyber threats and challenges.

show abstract

A Novel Chaotic Block Image Encryption Algorithm Based on Deep Convolutional Generative Adversarial Networks

Cited by 21 publications

References 57 publications

Provably Secure and Fast Color Image Encryption Algorithm Based on S-Boxes and Hyperchaotic Map

Provably Secure and Fast Color Image Encryption Algorithm Based on S-Boxes and Hyperchaotic Map

Chaotic Image Encryption: State-of-the-Art, Ecosystem, and Future Roadmap

Advances and Vulnerabilities in Modern Cryptographic Techniques: A Comprehensive Survey on Cybersecurity in the Domain of Machine/Deep Learning and Quantum Techniques

Contact Info

Product

Resources

About