Deep learning approach to security enforcement in cloud workflow orchestration.

El-Kassabi HT, Serhani MA, Masud MM, Shuaib K, Khalil K

DOI: 10.1186/s13677-022-00387-2
Published: 2023
Container: Journal of cloud computing (Heidelberg, Germany)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1186/s13677-022-00387-2,
  title = {Deep learning approach to security enforcement in cloud workflow orchestration.},
  author = {El-Kassabi HT and Serhani MA and Masud MM and Shuaib K and Khalil K},
  year = {2023},
  journal = {Journal of cloud computing (Heidelberg, Germany)},
  doi = {10.1186/s13677-022-00387-2},
  url = {https://doi.org/10.1186/s13677-022-00387-2}
}

RIS

TY  - JOUR
TI  - Deep learning approach to security enforcement in cloud workflow orchestration.
AU  - El-Kassabi HT
AU  - Serhani MA
AU  - Masud MM
AU  - Shuaib K
AU  - Khalil K
PY  - 2023
JO  - Journal of cloud computing (Heidelberg, Germany)
DO  - 10.1186/s13677-022-00387-2
UR  - https://doi.org/10.1186/s13677-022-00387-2
ER  -

APA

HT, E., MA, S., MM, M., K, S., & K, K. (2023). Deep learning approach to security enforcement in cloud workflow orchestration.. Journal of cloud computing (Heidelberg, Germany). https://doi.org/10.1186/s13677-022-00387-2

Source records

pubmed · retrieved 2026-09-26T04:00:47.743Z