Enhancing Cloud Security with AI: A Deep Learning Approach to Identify and Prevent Cyberattacks in Multi-Tenant Environments

Indeed, cloud computing has become a vital technology for businesses and the individuals who rely on computing resources. Yet the security challenges inherent in a multi-tenant cloud environment come from its shared nature, including data breaches, insider threats, and advanced persistent threats. The traditional security mechanisms fail to adapt to the evolving cyber threats, and thus, the solution has to be the AI-driven ones. Real-time threat detection, anomaly detection, and proactive mitigation strategy are made through the use of deep learning techniques to strengthen cloud security. This paper assesses the use of AI and deep learning in multi-tenant cloud security by reviewing the use of AI security, as well as discussing traditional vs. AI-driven security and how performance metrics should be used to measure the results of an AI-based security system. Then, issues and constitutive research avenues in AI-driven cloud security are discussed.

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Publication Details

Journal
Journal of Informatics Education and Research
Published
2024-12-31
DOI
https://doi.org/10.52783/jier.v4i3.2941
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhancing Cloud Security with AI: A Deep Learning Approach to Identify and Prevent Cyberattacks in Multi-Tenant Environments

Raviteja Guntupalli
Journal of Informatics Education and Research
Network Security and Intrusion Detection
article

Enhancing Cloud Security with AI: A Deep Learning Approach to Identify and Prevent Cyberattacks in Multi-Tenant Environments

Raviteja Guntupalli
article en

Abstract

Indeed, cloud computing has become a vital technology for businesses and the individuals who rely on computing resources. Yet the security challenges inherent in a multi-tenant cloud environment come from its shared nature, including data breaches, insider threats, and advanced persistent threats. The traditional security mechanisms fail to adapt to the evolving cyber threats, and thus, the solution has to be the AI-driven ones. Real-time threat detection, anomaly detection, and proactive mitigation strategy are made through the use of deep learning techniques to strengthen cloud security. This paper assesses the use of AI and deep learning in multi-tenant cloud security by reviewing the use of AI security, as well as discussing traditional vs. AI-driven security and how performance metrics should be used to measure the results of an AI-based security system. Then, issues and constitutive research avenues in AI-driven cloud security are discussed.

Journal of Informatics Education and ResearchVol. 4(3)
University of Findlay (US)
Openalex Percentile: Top 64%
Network Security and Intrusion Detection
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Enhancing Cloud Security with AI: A Deep Learning Approach to Identify and Prevent Cyberattacks in Multi-Tenant Environments — Raviteja Guntupalli · Journal of Informatics Education and Research (2024) | TGRS Research Map | TGRS