Open Access
| Issue |
ITM Web Conf.
Volume 56, 2023
First International Conference on Data Science and Advanced Computing (ICDSAC 2023)
|
|
|---|---|---|
| Article Number | 05005 | |
| Number of page(s) | 8 | |
| Section | Machine Learning & Neural Networks | |
| DOI | https://doi.org/10.1051/itmconf/20235605005 | |
| Published online | 09 August 2023 | |
- V. Kakkad, M. Patel, and M. Shah, “Biometric authentication and image encryption for image security in cloud framework,” Multiscale and Multidisciplinary Modeling, Experiments and Design, vol. 2, no. 4, pp. 233-248 (2019). [CrossRef] [Google Scholar]
- Z. Hua, B. Xu, F. Jin, and H. Huang, “Image encryption using Josephus problem and filtering diffusion,” IEEE Access, vol. 7, pp. 8660-8674(2019). [CrossRef] [Google Scholar]
- S. R. Maniyath and V. Anikaiselvan, “An efficient image encryption using deep neural network and chaotic map,” Microprocessors and Microsystems, vol. 77, Article ID 103134 (2020). [CrossRef] [Google Scholar]
- Y. Ding, “DeepEDN: a deep learning-based image encryption and decryption network for internet of medical things,” IEEE Internet of ings Journal, vol. 8, no. 3, pp. 1504-1518(2020). [Google Scholar]
- S. Yadav and N. Tiwari, “Recent advancements in chaos- based image encryption techniques: a review,” SocialNetworking and Computational Intelligence, Springer, Singapore, pp. 639-647 (2020). [Google Scholar]
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