Detecting the Security Level of Various Cryptosystems Using Machine Learning Models
- DOI
- 10.1109/access.2020.3046528
- Published
- 2021
- Container
- IEEE Access
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/access.2020.3046528,
title = {Detecting the Security Level of Various Cryptosystems Using Machine Learning Models},
author = {Arslan Shafique and Jameel Ahmed and Wadii Boulila and Hamzah Ghandorh and Jawad Ahmad and Mujeeb Ur Rehman},
year = {2021},
journal = {IEEE Access},
doi = {10.1109/access.2020.3046528},
url = {https://doi.org/10.1109/access.2020.3046528}
}RIS
TY - JOUR TI - Detecting the Security Level of Various Cryptosystems Using Machine Learning Models AU - Arslan Shafique AU - Jameel Ahmed AU - Wadii Boulila AU - Hamzah Ghandorh AU - Jawad Ahmad AU - Mujeeb Ur Rehman PY - 2021 JO - IEEE Access DO - 10.1109/access.2020.3046528 UR - https://doi.org/10.1109/access.2020.3046528 ER -
APA
Shafique, A., Ahmed, J., Boulila, W., Ghandorh, H., Ahmad, J., & Rehman, M. U. (2021). Detecting the Security Level of Various Cryptosystems Using Machine Learning Models. IEEE Access. https://doi.org/10.1109/access.2020.3046528
Source records
- crossref · retrieved 2026-09-25T05:54:21.720Z