Enhancing Cloud Security: A Hypervisor-Level Framework for Malware Prevention and Detection

The introduction outlines the significance of data storage and management in businesses andhighlights the cost-effectiveness of data outsourcing, particularly in the context of cloud computing. Itemphasizes the benefits and challenges of cloud computing, with a focus on security concerns related tomalware threats. The proposed malware prevention and detection (MP&D) framework aims to address thesechallenges by providing a comprehensive set of processes and tools to secure virtual machines in cloudcomputing environments. The framework's objectives include large-scale system management, identifyingvarious attacks, early detection, rapid and accurate detection, scalability, and resistance to compromise.

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Publication Details

Journal
Cuestiones de Fisioterapia
Published
2025-02-20
DOI
https://doi.org/10.48047/qybb2838
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhancing Cloud Security: A Hypervisor-Level Framework for Malware Prevention and Detection

Bineet Kumar Gupta, Sunil Kumar Patel, Shobhit Mani Tiwari, Anamika Agarwal et al.
Cuestiones de Fisioterapia
Network Security and Intrusion Detection
article

Enhancing Cloud Security: A Hypervisor-Level Framework for Malware Prevention and Detection

Bineet Kumar Gupta, Sunil Kumar Patel, Shobhit Mani Tiwari, Anamika Agarwal, Satya BhushanVerma
article en

Abstract

The introduction outlines the significance of data storage and management in businesses andhighlights the cost-effectiveness of data outsourcing, particularly in the context of cloud computing. Itemphasizes the benefits and challenges of cloud computing, with a focus on security concerns related tomalware threats. The proposed malware prevention and detection (MP&D) framework aims to address thesechallenges by providing a comprehensive set of processes and tools to secure virtual machines in cloudcomputing environments. The framework's objectives include large-scale system management, identifyingvarious attacks, early detection, rapid and accurate detection, scalability, and resistance to compromise.

Cuestiones de FisioterapiaVol. 54(4)
University of Lucknow (IN), Shri Ramswaroop Memorial University (IN), University of Rajasthan (IN)
Openalex Percentile: Top 96%
Network Security and Intrusion Detection
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