Deep learning approach to security enforcement in cloud workflow orchestration

Deep learning approach to security enforcement in cloud workflow orchestration

Abstract Supporting security and data privacy in cloud workflows has attracted significant research attention. For example, private patients’ data managed by a workflow deployed on the cloud need to be protected, and communication of such data across multiple stakeholders should also be secured. In...

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Bibliographic Details
Main Authors: Hadeel T. El-Kassabi, Mohamed Adel Serhani, Mohammad M. Masud, Khaled Shuaib, Khaled Khalil
Format: Article
Language:English
Published: SpringerOpen 2023-01-01
Series:Journal of Cloud Computing: Advances, Systems and Applications
Subjects:
Cloud
Cloud workflow
Security enforcement
Deep learning
Anomaly detection
Prediction
Online Access:https://doi.org/10.1186/s13677-022-00387-2

Internet

https://doi.org/10.1186/s13677-022-00387-2

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