aspg-2-1745-1791417278 20261007235438 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Journal of Cybersecurity and Information Management JCIM 2769-7851 2690-6775 2023 11 1 Manal M. Nasir Gwinnett Technical College (GTC), Lawrenceville , GA, 30043, USA Salim M. Hebrisha Libyan Iron and Steel Company (LISCO), Misrata, Libya Cloud computing has become a popular paradigm for delivering computing resources and services over the internet. However, the adoption of cloud computing also brings new security challenges and risks, including data breaches, insider attacks, and unauthorized access. Therefore, it is critical to have a comprehensive information security management framework to address these challenges and ensure the security and privacy of cloud computing environments. This paper proposes a machine learning (ML) based information security management (ISM) framework for cloud computing environments that integrates best practices and standards from various domains, including cloud computing, information security, and risk management. The proposed framework includes residual recurrent network to effectively discriminate different patterns of cloud security attacks. The proposed framework emphasizes the importance of threat detection, security controls, and continuous monitoring and improvement. The framework is designed to be flexible and scalable, allowing organizations to tailor it to their specific needs and requirements. 2023 22 29 1745 https://creativecommons.org/licenses/by/4.0/ 10.54216/JCIM.110102 https://www.americaspg.com/journal/2/article/1745 https://www.americaspg.com/storage/21740740964.pdf