Secure and Resilient Authenticated Encryption Approach Based on Chaotic Neural Networks and Duplex Construction
- DOI
- 10.9734/bpi/acst/v6/5040e
- Published
- 2023-10-09
- Container
- Advances and Challenges in Science and Technology Vol. 6
- Publisher
- B P International (a part of SCIENCEDOMAIN International)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.9734/bpi/acst/v6/5040e,
title = {Secure and Resilient Authenticated Encryption Approach Based on Chaotic Neural Networks and Duplex Construction},
author = {Nabil Abdoun and Safwan El Assad and Thang Manh Hoang and Olivier Deforges and Rima Assaf and Mohamad Khalil},
year = {2023},
journal = {Advances and Challenges in Science and Technology Vol. 6},
doi = {10.9734/bpi/acst/v6/5040e},
url = {https://doi.org/10.9734/bpi/acst/v6/5040e}
}RIS
TY - JOUR TI - Secure and Resilient Authenticated Encryption Approach Based on Chaotic Neural Networks and Duplex Construction AU - Nabil Abdoun AU - Safwan El Assad AU - Thang Manh Hoang AU - Olivier Deforges AU - Rima Assaf AU - Mohamad Khalil PY - 2023 JO - Advances and Challenges in Science and Technology Vol. 6 DO - 10.9734/bpi/acst/v6/5040e UR - https://doi.org/10.9734/bpi/acst/v6/5040e ER -
APA
Abdoun, N., Assad, S. E., Hoang, T. M., Deforges, O., Assaf, R., & Khalil, M. (2023). Secure and Resilient Authenticated Encryption Approach Based on Chaotic Neural Networks and Duplex Construction. Advances and Challenges in Science and Technology Vol. 6. https://doi.org/10.9734/bpi/acst/v6/5040e
Source records
- crossref · retrieved 2026-09-27T01:30:34.255Z