Author(s)

Han Chen ¹

Affiliation(s)

¹ Shanwei Institute of Technology, Shanwei, China

Corresponding Author

Han Chen

ABSTRACT

With the wide application of digital image processing technology in various fields, how to ensure the privacy and security of image data has become an urgent problem to be solved. To this end, this study selected the chaotic encryption algorithm, focusing on its encryption performance on the real low-light image dataset RENOIR on the ARM platform. After choosing a specific ARM hardware and software environment, a series of encryption experiments were performed using the RENOIR dataset. The experimental evaluation criteria include PSNR value of encrypted image, information entropy and encryption execution time on ARM platform. Preliminary results show that the chaotic encryption algorithm can effectively protect image content in this environment, has high randomness and unpredictability, and its execution efficiency meets the needs of practical applications.

KEYWORDS

Chaotic encryption, ARM platform, image encryption

CITE THIS PAPER

Han Chen, Research on Chaotic Digital Image Encryption Based on ARM Platform. Computing, Performance and Communication Systems (2023) Vol. 7: 105-110. DOI: http://dx.doi.org/10.23977/cpcs.2023.070113.

REFERENCES

[1] Guo Xingang, Fan Guomi. Digital image encryption algorithm based on chaotic mapping and DNA sequence operation [J]. Journal of Changchun University of Technology, 2023, 44(02): 154-163 .
[2] Cheng Duanxiang. Analysis of an Improved Chaotic Digital Image Encryption Algorithm [J]. Science and Technology Innovation, 2021(11): 84-85.
[3] Li Lei, Xie Shujuan. Research on Chaotic Digital Image Encryption Technology [J]. Examination Weekly, 2018(78): 196.
[4] Yang Yi, Rong Feng, Wu Zhigang. Improved Chaos Equation and its Application and Realization in Secure VoIP System [J]. Telecommunication Engineering, 2022, 62(7).
[5] Li Fupeng, Liu Jingbiao, Wang Guangyi, et al. Image encryption algorithm based on chaotic set [J]. Journal of Electronics and Information Technology, 2020, 42(4): 981-987.

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