Multi-level image security using elliptic curve and magic matrix with advanced encryption standard

Raju, D. Ranga; Eleswarapu, Lalitha; Pranav, Muppidi Sai; Sinha, Rupesh Kumar

doi:10.1007/s11042-022-12993-y

Cited by 7 publications

(3 citation statements)

References 22 publications

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“…Liu Guangzhe et al propose an image encryption scheme based on a discretetime alternating quantum walk and AES [10]. Raju Deril, Eleswarapu Lalitha, Pranav Muppidi Sai, and Sinha Rupesh Kumar propose a multi-level image security scheme combining elliptic curves, magic matrix, and AES [11]. Niraj Kumar, Vishnu Mohan Mishra, and Adesh Kumar address smart grid security with an S-box AES implementation [12].…”

Section: Related Workmentioning

confidence: 99%

Optimization of Security Identification in Power Grid Data through Advanced Encryption Standard Algorithm

Li,

Xu,

Zhou

et al. 2024

JCSANDM

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With the increasing reliance on digital technologies in power grid systems, ensuring the security and confidentiality of data has become paramount. This study focuses on optimizing security identification processes in power grid data using the Advanced Encryption Standard (AES) algorithm. The research explores the application of AES to enhance data protection and improve the accuracy and efficiency of security identification techniques. By implementing AES encryption, the study aims to fortify the security measures within the power grid infrastructure, safeguard sensitive information, and mitigate potential threats. The findings provide insights into the benefits of AES-based security optimization, contributing to the advancement of data security in power grid operations.

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Section: Related Workmentioning

confidence: 99%

Optimization of Security Identification in Power Grid Data through Advanced Encryption Standard Algorithm

Li,

Xu,

Zhou

et al. 2024

JCSANDM

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“…The point-addition operation on the elliptic curve is defined as follows [56]. A(x 1 , y 1 ) and B(x 2 , y 2 ) are two points on an elliptic curve.…”

Section: Operations On the Elliptic Curvementioning

confidence: 99%

Image encryption algorithm based on the Matryoshka transform and modular-inverse matrix

Zhang

2023

Preprint

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The transmission of digital image in Internet is convenient, but at the same time the great risk of information leakage is existed. To meet the requirements of image content security and real-time communication, we propose an image encryption algorithm based on the Matryoshka transform and modular-inverse matrix. Firstly, a new Matryoshka transform is designed to scramble the original image; secondly, the global chaotic exclusive or operation is performed on the scrambled image, and the diffused result is converted into an image block set; thirdly, the chaotic sequence is used to generate a set of modular odd matrix, and the set of the modular-inverse matrix is calculated; finally, the matrix operation of modular multiplication is performed on the image block set and the modular-inverse matrix set to generate the encrypted image. Meanwhile, the sender passes the secret keys to the recipient using Diffie-Hellman over the elliptic curve. Experimental results and algorithm analyses show that the proposed algorithm has the excellent encryption effect and the strong ability to resist common attacks. Therefore, the proposed algorithm can be applied to the image transmission under the network platform with strong security, desirable encryption effect and high efficiency.

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“…Paper [11] proposes chaos-based cipher. In this an external secret key of 104 bit and two chaotic logistic maps are used to differentiate between the encrypted image and the plain image.…”

Section: Related Workmentioning

confidence: 99%

Sensible Image Encryption for Military Applications Based on Advanced Encryption Standard Algorithm (AES)

Krishnamoorthy

2023

Preprint

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With the rapid development of military applications and advanced warfare between the nations, the building of network and communication technology, transmitting sensible information across troops has become a necessary way of information transmission. Therefore, much more attention has been paid to the development of the image encryption technology for military applications. In this paper, we propose a image encryption technology based on AES algorithm, and the algorithm implementation in GNC/GCC. Then, we perform image processing, obtain the password text that can use the AES encryption algorithm, combine both password and secured image. Then, the digital image can be encrypted, and the algorithm is realized in GNU simulation. Through the comparison of the histogram analysis and the analysis of the key, the result has showed that the method can better realize the effect of encryption and decryption with more security for image transmission.

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Multi-level image security using elliptic curve and magic matrix with advanced encryption standard

Cited by 7 publications

References 22 publications

Optimization of Security Identification in Power Grid Data through Advanced Encryption Standard Algorithm

Optimization of Security Identification in Power Grid Data through Advanced Encryption Standard Algorithm

Image encryption algorithm based on the Matryoshka transform and modular-inverse matrix

Sensible Image Encryption for Military Applications Based on Advanced Encryption Standard Algorithm (AES)

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