A Novel Image Encryption Method with Z-Ordering based Scan and Random Number

Sivakumar, T.; Venkatesan, Ramarathnam

doi:10.5120/18126-9198

Cited by 6 publications

(2 citation statements)

References 15 publications

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“…In 2014, T.Sivakumar suggested an image encryption scheme using random nonce and z-order bend to enhance the security level of images. This scheme achieves a certain security level due to the addition of noise during the process, and thus, this system can withstand differential and statistical attacks [24]. Seyed mohammad et.al suggested the algorithm is to use one half of image data for encryption of the other half of the image reciprocally that is based on hash function [6].…”

Section: Literature Surveymentioning

confidence: 99%

A Substitute Method for Color Image Enciphering based on Cell Shuffling and Scan Pattern

Singar,

Bharti,

Pateriy

2019

IJRTE

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In today’s world, we use multimedia technologies in various daily applications to send vital information from one end to another side. However, security is a prime concern when data is sent over a public channel. There are various multimedia techniques to transfer data using sound, video, and images. However, these methods are not effective in security and performance. Therefore, we propose an advanced substitute method using cell shuffling and scanning methodology for image encryption. The suggested scheme contains two processes as (1) divide an image into many blocks, and then, its pixel position is rearranged, and (2) the scan pattern is applied to get a more complex image. After that, we do performance and security analysis for the proposed method using the correlation coefficient, information entropy, PSNR, MSE, SNR, number of pixels change rate, average intensity, and unified average change intensity.

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Section: Literature Surveymentioning

confidence: 99%

A Substitute Method for Color Image Enciphering based on Cell Shuffling and Scan Pattern

Singar,

Bharti,

Pateriy

2019

IJRTE

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“…Image encryption algorithms based on permutation can typically be categorized into three types: position permutation [8], pixel permutation [9] and block permutation [10]. Compared with chaotic mapping algorithms, these types of algorithms have higher efficiency but tend to underperform in terms of security.…”

Section: Introductionmentioning

confidence: 99%

A lightweight unstructured device state image encryption and collection scheme

Xu,

Li,

Qin

et al. 2024

International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024)

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Industrial Internet-of-Things (IoT) has recently emerged and is undergoing rapid development, and image data collected through IoT nodes or terminals is related to personal information. For the protection of image data in IoT, especially in smart grid, we propose a new lightweight image encryption and collection scheme. First of all, a random permutation matrix was used to disturb the association between original and encrypted images. Secondly, to further strengthen the encryption, we select only a portion of bits from the blinding matrix for encryption, instead of encrypting the entire image. After receiving the encrypted data, the data center performs the inverse operations to decrypt the image. Performance analysis shows that, compared to the counterparts, our scheme is more efficient and feasible, can be applied for resource-limited equipment and is ideal for protecting sensitive images.

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An Image Encryption Algorithm with Hermite Chaotic Polynomials and Scan Pattern

Sivakumar¹,

Pandi²,

Madasamy³

et al. 2021

J. Phys.: Conf. Ser.

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In today’s digital world, massive amount of sensitive information is being generated in the form of image and further it is shared via Internet. Maintaining the confidentiality of these data has become a major issue due to security vulnerability present in the network and transmission media. Image encryption algorithms are developed by various researchers to permit only authorized users to access and view sensitive images. This paper presents a novel image encryption scheme based on Hermite polynomials chaos function. First, random key stream is generated by using Hermite polynomial with different initial and incremental values of the variables. Next, the original image is scrambled with scan pattern to rearrange the pixels position. The scrambled image is XORed with the random key stream to get the encrypted image. The proposed method is experimented and observed that it is efficient and confirms the confusion and diffusion properties of a secure image encryption method. Large key space, low relation between the pixels of encrypted image, and sensitivity to initial seed value of the key are the strength of the proposed image encryption method.

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A Novel Image Encryption Method with Z-Ordering based Scan and Random Number

Cited by 6 publications

References 15 publications

A Substitute Method for Color Image Enciphering based on Cell Shuffling and Scan Pattern

A Substitute Method for Color Image Enciphering based on Cell Shuffling and Scan Pattern

A lightweight unstructured device state image encryption and collection scheme

An Image Encryption Algorithm with Hermite Chaotic Polynomials and Scan Pattern

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