Deep Learning Based User Identity Management Protocol for Improving Security in Cloud Communication

Authors

  • N. Rajkumar Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai – 600062, India https://orcid.org/0000-0002-8216-8186
  • M. Gokul Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai – 600062, India
  • K. Sathees Kumar Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai – 600062, India
  • N. Mohanasuganthi Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai – 600062, India

Keywords:

Deep learning, SCIM, Security, Cloud Computing

Abstract

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.

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The proposed system's architecture model

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Published

01.10.2022

How to Cite

Rajkumar, N. ., Gokul, M. ., Kumar, K. S. ., & Mohanasuganthi, N. . (2022). Deep Learning Based User Identity Management Protocol for Improving Security in Cloud Communication. International Journal of Intelligent Systems and Applications in Engineering, 10(3), 444–453. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2186

Issue

Vol. 10 No. 3 (2022)

Section

Research Article

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