| Autor: |
Rajkumar, N., Gokul, M., Kumar, K. Sathees, Mohanasuganthi, N. |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
International Journal of Intelligent Systems and Applications in Engineering; Vol. 10 No. 3 (2022); 444–453 |
| ISSN: |
2147-6799 |
| Popis: |
These instructions Deep learning (DL) based methods for communication protocol design have recently been explored inside the cloud computing paradigm. These learning-based systems can eliminate the need for manual protocol parameter tuning. To this purpose, we present a new DL-based framework for designing and evaluating networking protocols in a methodical manner. The suggested user identity management protocols, System for Cross-domain Identity Management (SCIM) is used to safeguard cloud computing clients and providers. Deep learning techniques employing SCIM were used to improve security and scalability. By preventing unwanted users from gaining access to the service/facility, the suggested deep Learning with SCIM would secure customers/cloud service providers' infrastructure and safeguard data at all levels, which is crucial for cloud computing facilities. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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