Noise-free thumbnail-preserving image encryption based on MSB prediction

Ye, Zhujing; Zhao, Ruoyu; Zhang, Yushu; Xiao, Xiangli; Lan, Rushi; Xiang, Yong

doi:10.1016/j.ins.2022.10.114

Cited by 21 publications

(2 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Image encryption plays a crucial role in information security and data protection, and it has become a significant technology for safeguarding image privacy [1][2][3]. However, traditional image encryption algorithms gradually expose the problem of inadequate security when confronted with increasingly sophisticated attack methods [4][5][6]. Therefore, it is crucial to enhance the research and implementation of image encryption technology.…”

Section: Introductionmentioning

confidence: 99%

Color image encryption algorithm based on quantum random walk and multiple reset scrambling*

Mou,

Dong

2024

Phys. Scr.

View full text Add to dashboard Cite

In order to solve the problems of privacy leakage, data string modification and attack threats in the field of image encryption information security, and at the same time ensure the security, integrity and reliability of image data. In this paper, we introduce a novel hybrid color image encryption scheme that increases the complexity of the key space and provides better data integrity protection by combining quantum random walk and SHA-256 algorithm. At the same time, the three chaotic systems are combined and multiple XOR operations are introduced to effectively scramble the space and pixel levels of the color image. Through a large number of simulation experiments and security analysis, the results show that the scheme has efficient encryption performance, excellent ability to resist attacks and excellent privacy protection ability.

show abstract

Section: Introductionmentioning

confidence: 99%

Color image encryption algorithm based on quantum random walk and multiple reset scrambling*

Mou,

Dong

2024

Phys. Scr.

View full text Add to dashboard Cite

show abstract

“…Among these resources, digital images offer a more engaging and direct form of communication than text, owing to their vividness and intuitiveness. Consequently, ensuring the secure transmission of images has become a critical issue in this domain, drawing considerable attention and research efforts from many scholars [1][2][3][4][5]. Image encryption serves as a vital technique for protecting private information, and involves transforming pixels with unique characteristics into random ones to hide significant data within an image.…”

Section: Introductionmentioning

confidence: 99%

Partial-privacy Image Encryption Algorithm Based on Time-varying Delayed Exponentially Controlled Chaotic System

Wang,

Zhang,

Liu

2024

Preprint

View full text Add to dashboard Cite

To enhance privacy protection for specific regions within an image while preserving its overall visual integrity, this paper presents a visual encryption algorithm targeting partial privacy-sensitive areas. Initially, a novel time-varying delayed exponentially controlled chaotic system (1-TDEC) is proposed. It utilizes the current precision value to modify the system input in a real-time manner, effectively counteracting the dynamic degradation, and making it more suitable for image encryption algorithms designs. Subsequently, the Mask-RCNN instance segmentation model is incorporated to capture the pixel coordinates of different contents in the image, allowing for access to specific area information as required. Furthermore, this encryption algorithm employs a comprehensive permutation process along with parallel bit-shift coupling, effectively transforming the image target areas into visually meaningless forms. It also employs bit-plane theory, providing encryptors the flexibility to set different decryption access levels by manipulating the key stream length from the chaotic system, thus enabling user-specific decryption control. Finally, the comprehensive performance analysis results highlight that the designed algorithm achieves a maximum information entropy value of 7.9998 in encrypted images. Moreover, its resistance to differential attacks (as measured by NPCR and UACI) and pixel correlation are infinitely close to the ideal state, significantly underscoring its security and effectiveness.

show abstract

TPE-MM: Thumbnail preserving encryption scheme based on Markov model for JPEG images

Chai,

Long,

Gan

et al. 2024

Appl Intell

View full text Add to dashboard Cite

Noise-free thumbnail-preserving image encryption based on MSB prediction

Cited by 21 publications

References 33 publications

Color image encryption algorithm based on quantum random walk and multiple reset scrambling*

Color image encryption algorithm based on quantum random walk and multiple reset scrambling*

Partial-privacy Image Encryption Algorithm Based on Time-varying Delayed Exponentially Controlled Chaotic System

TPE-MM: Thumbnail preserving encryption scheme based on Markov model for JPEG images

Contact Info

Product

Resources

About