Experimenting with AI Techniques User Profiling to Bolster Cloud Security

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Ramesh Babu, K. Krishnakumar This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6697382/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract In cloud computing security, current measures such as antivirus software, authentication systems, and firewalls are insufficient to cope with the constantly changing nature of threats. Therefore, a User Profiling System, which records user activities to assess behavior, strengthens the security framework by functioning in both proactive and reactive ways, thus improving overall security. This paper aims to design a User Profiling System specifically for cloud environmen1t2s using Artificial Intelligence methods. It examines th2e behavior of the User Profiling System and introduces a combined approach that aims to deliver a thorough User Profiling System forcloud computing security. Cloud Computing Artificial Intelligence Networking Systems Pay-as–you-go Model Multi-tenancy Datacenters Artificial Neural Networks Machine Learning Genetics Expert Systems Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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