• Dr.Rakesh Kumar Giri

Cloud computing makes it easy to access data on devices with multiple form factors. It gives you the flexibility to connect to your business anytime, anywhere. Many cloud benefits are considered, including reduced information technology costs, infrastructure costs, scalability, business continuity, collaboration efficiency, flexibility in work practices, and automatic updates. These benefits can only be realized with strong identity and access management for cloud applications and services. Various challenges of IAM systems include user password fatigue, error-prone manual provisioning and deprovisioning, visibility into compliance, isolated user directories by application, access management across a proliferation of browsers and devices, updates standardized application integration, variations in management models, and more. There is also a lack of knowledge about best practices for optimally using cloud services. To overcome this challenge, this paper proposes an intelligent identity and access management model trained on neural networks. The model extracts and learns from users' file access logs and provides an intelligent question-based identification system for user identification, authentication and authorization of files to ensure efficient and fast file access. .

Cloud Computing; Deep Learning; Artificial Neural Network; Identity and Access Management; Access Control

"NEURAL NETWORKS IN IDENTITY AND ACCESS MANAGEMENT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 12, page no.423-431, December-2017, Available :http://www.jetir.org/papers/JETIR1712239.pdf

"NEURAL NETWORKS IN IDENTITY AND ACCESS MANAGEMENT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 12, page no. pp423-431, December-2017, Available at : http://www.jetir.org/papers/JETIR1712239.pdf