Cellular automata based key distribution for lightweight hybrid image encryption with elliptic curve cryptography

The paper presents a lightweight hybrid image encryption scheme for IoT applications. The method performs secure key exchange using ECC, derives random keys using the CA Rule Vector [90, 90, 51, 51, 92, 195, 195, 195], and encrypts the image using AES-128. The secret shared via ECC serves as the seed for the CA rule vector [90, 90, 51, 51, 92, 195, 195, 195], facilitating the generation of a highly dispersed and secure session key. The system generates a highly diffused key through CA and then uses it in the AES encryption process. The framework has been tested on standard images from the SIPI database and has shown strong security results with NPCR of 99.6461, UACI of 49.9927, and entropy of 7.9991 for the Baboon Image. The method has passed all NIST randomness tests and shows a superior execution time, making it highly suitable for lightweight encryption in resource-constrained IoT environments.

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Publication Details

Journal
Scientific Reports
Published
2025-10-02
DOI
https://doi.org/10.1038/s41598-025-17536-7
Citations
3
Primary Topic
Cellular Automata and Applications
Type
article
Field-Weighted Citation Impact
4.51
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article

Cellular automata based key distribution for lightweight hybrid image encryption with elliptic curve cryptography

Satyabrata Roy, Ajoy Kumar Khan, Biswarup Yogi
3 citations
Scientific Reports
Cellular Automata and Applications
4.51
article

Cellular automata based key distribution for lightweight hybrid image encryption with elliptic curve cryptography

Satyabrata Roy, Ajoy Kumar Khan, Biswarup Yogi
article en
3 citations

Abstract

The paper presents a lightweight hybrid image encryption scheme for IoT applications. The method performs secure key exchange using ECC, derives random keys using the CA Rule Vector [90, 90, 51, 51, 92, 195, 195, 195], and encrypts the image using AES-128. The secret shared via ECC serves as the seed for the CA rule vector [90, 90, 51, 51, 92, 195, 195, 195], facilitating the generation of a highly dispersed and secure session key. The system generates a highly diffused key through CA and then uses it in the AES encryption process. The framework has been tested on standard images from the SIPI database and has shown strong security results with NPCR of 99.6461, UACI of 49.9927, and entropy of 7.9991 for the Baboon Image. The method has passed all NIST randomness tests and shows a superior execution time, making it highly suitable for lightweight encryption in resource-constrained IoT environments.

Scientific ReportsVol. 15(1)
Mizoram University (IN), West Bengal State University (IN), Manipal University Jaipur
Openalex Percentile: Top 5%
Cellular Automata and Applications
4.51
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