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@article{153577,
        author = {Ms. Apurva P Keskar and Mrs. Poonam R Faldu},
        title = {NEURAL NETWORKS for Smart IAM (Identity and Access Management)},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {8},
        pages = {40-45},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=153577},
        abstract = {Cloud computing enables information to be accessed from a variety of devices. It makes it possible to connect with your business at any time and from any place. There are several perks to using the cloud, including reduced IT expenditures, infrastructure costs, adaptability, and continuity planning. Workplace flexibility, collaborative efficiency, and automated upgrades are all factors to take into account. These advantages can only be realized with solid identity and access control for cloud apps and services. Our system challenges include user password fatigue, manual provisioning and  an act that is prone to failure, visibility of compliance, isolated user directories for each application, access management across an explosion of browsers and devices, updated application integration, the variation of administrative models for different applications, and a lack of knowledge of quality standards for optimal cloud service resource usage. To address these concerns, this analysis gives a neural network-trained intelligent identity and access management framework.},
        keywords = {Cloud computing, Neural network, Smart identity and access controls},
        month = {},
        }