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A secure framework for the cloud to protect the virtual machine from malicious events

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Abstract

In recent years, Virtual Machine (VM) has played an important role for cloud computing applications to execute the assigned user tasks. However, the cloud is a big open environment, so it is vulnerable to attack; happening attack in VM can disturb the entire data sharing process. So the current research has proposed a novel Whale-based CatBoost (WbCB) mechanism to protect VM from malicious activities and to afford security for the connected VM’s in cloud computing. The main aim of this present article is to enhance the confidential score of the VM cloud sharing model. The required number of VM is primarily designed in the MATLAB environment, then a novel WbCB model was designed with suitable parameters to secure the data during transmission. The confidential score of the proposed model in front of the Cloud Malware Injection (CMI) attack has been investigated. Still, the proposed WbCB has reported the best confidential rate as 99%, data sharing rate as 0.965, and attack detection score as 99.8%. Also, the time taken for scheduling 6000 jobs is 1000s, and the reported lower false rate is 5%. Thus compared to the recent existing models, the proposed WbCB model has tremendously maximized the performance rate.

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  1. VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, 500090, India

    P. Neelakantan

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Neelakantan, P. A secure framework for the cloud to protect the virtual machine from malicious events. Multimed Tools Appl 82, 33811–33834 (2023). https://doi.org/10.1007/s11042-023-14740-3

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