Design and Analysis of a Novel Chaos-Based Image Encryption Algorithm via Switch Control Mechanism

Xiao, Shenyong; Yu, Zhou; Deng, Yibing

doi:10.1155/2020/7913061

Cited by 27 publications

(16 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…RC4 is a quick stream cipher but it is not considered as a secure cipher any longer because of its vulnerability to a bit-flipping attack where one in every 256 keys can be a weak key. In addition, as shown by the previous studies [2], [35] as well as by our own evaluation in Section VIII-E, both AES and RC4 are not good in breaking the strong correlation amongst horizontally, vertically, and diagonally adjacent pixels of video frames.…”

Section: A Video Privacy-protection Techniquesmentioning

confidence: 69%

Lightweight Frame Scrambling Mechanisms for End-to-End Privacy in Edge Smart Surveillance

Fitwi¹,

Chen²,

Zhu³

2021

Preprint

View full text Add to dashboard Cite

As smart surveillance becomes popular in today's smart cities, millions of closed circuit television (CCTV) cameras are ubiquitously deployed that collect huge amount of visual information. All these raw visual data are often transported over a public network to distant video analytic centers. This increases the risk of interception and the spill of individuals' information into the wider cyberspace that causes privacy breaches. The edge computing paradigm allows the enforcement of privacy protection mechanisms at the point where the video frames are created. Nonetheless, existing cryptographic schemes are computationally unaffordable at the resource constrained network edge. Based on chaotic methods we propose three lightweight end-to-end (E2E) privacy-protection mechanisms: (1) a Dynamic Chaotic Image Enciphering (DyCIE) scheme that can run in real time at the edge; (2) a lightweight Regions of Interest (RoI) Masking (RoI-Mask) scheme that ensures the privacy of sensitive attributes on video frames; and (3) a novel lightweight Sinusoidal Chaotic Map (SCM) as a robust and efficient solution for enciphering frames at edge cameras. Design rationales are discussed and extensive experimental analyses substantiate the feasibility and security of the proposed schemes.

show abstract

Section: A Video Privacy-protection Techniquesmentioning

confidence: 69%

Lightweight Frame Scrambling Mechanisms for End-to-End Privacy in Edge Smart Surveillance

Fitwi¹,

Chen²,

Zhu³

2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Where a, b and c are constants of natural integers, a and b are generated from PWLCM. The equation ( 10) can be solved using the equation (11).…”

Section: { (9)mentioning

confidence: 99%

“…In [11] the pseudorandom numbers required for image encryption are generated by Lorenz chaotic map, the permutation of image rows and columns is carried out by random switch control mechanism. Equation ( 21) represents Lorenz chaotic map.…”

Section: Lorenz Chaotic Mapmentioning

confidence: 99%

A Survey on Image Encryption using Chaos-based Techniques

Veena¹,

Ramakrishna²

2021

IJACSA

View full text Add to dashboard Cite

Encryption methods such as AES (Advanced Encryption Standard), DES (Data Encryption Standard), etc. cannot be used for image encryption as images contain a huge amount of redundant data, a high correlation between neighboring pixels and size of the image is very large. Chaosbased techniques have suitable properties that are required for image encryption. The properties include sensitivity to initial conditions, pseudorandom number, ergodicity, and density of periodic orbits. In this paper, a survey of image encryption using chaos-maps such as a logistic map, piecewise linear chaotic map (PWLCM), tent map, etc. is done in order to choose best map for image encryption. Comparison of image encryption using different chaotic maps is done by considering parameters such as key-space and correlation analysis.

show abstract

“…. Generally, an algorithm key length of 128 bits is considered safe [44]; hence, the key space of the proposed encryption algorithm is secure against brute-force attacks.…”

Section: Key Space Analysismentioning

confidence: 99%

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

Fang

Liu

2021

IEEE Access

View full text Add to dashboard Cite

This paper proposes a novel chaotic block image encryption algorithm based on deep convolutional generative adversarial networks (DCGANs), quaternions, an improved Feistel network, and an overall scrambling and diffusion mechanism. First, a new hyperchaotic system is introduced and combined with DCGANs to generate a random sequence with better randomness and complexity as a key stream. This sequence is then combined with a quaternion and an improved Feistel network encryption of a colour plaintext image by utilizing the key block matrix to ultimately achieve overall scrambling and diffusion of the cipher image. Finally, the security of this algorithm is quantitatively and qualitatively analysed. The simulation results show that the proposed hyperchaotic system has a large key space and good random characteristics and that the new algorithm yields adequate security and can resist brute-force attacks and chosen-plaintext attacks. Therefore, this approach provides a new way to achieve secure transmission and protection of image information. INDEX TERMS Image encryption, chaotic system, deep convolutional generative adversarial networks.

show abstract

Design and Analysis of a Novel Chaos-Based Image Encryption Algorithm via Switch Control Mechanism

Cited by 27 publications

References 42 publications

Lightweight Frame Scrambling Mechanisms for End-to-End Privacy in Edge Smart Surveillance

Lightweight Frame Scrambling Mechanisms for End-to-End Privacy in Edge Smart Surveillance

A Survey on Image Encryption using Chaos-based Techniques

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

Contact Info

Product

Resources

About