Artificial Intelligence to Improve Security of Cloud Networks

Cloud networks are important to businesses and individuals, and thus, their security is becoming an issue of increasing concern. Conventional security mechanisms fail to effectively counter dynamic cyber threats, but AI can be the real-time adaptive solution to improve protection. This study analyses the role of AI in improving cloud network security with tests conducted on various AI models with Random Forest, Support Vector Machine, and deep learning models with CNN and RNN, among others. These experiments showed that both CNN and RNN outperform the traditional approaches in terms of higher accuracy and lower false positives with faster responses, and only minimal impact on system performance; therefore, they are promising avenues for AI improvement of cloud security.

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Publication Details

Published
2025-03-06
DOI
https://doi.org/10.1109/icoeca66273.2025.00043
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence to Improve Security of Cloud Networks

Vinod Kumar Singh, S. Kannan, E. Srinivasa Raju, P. Raghavendra Prasad et al.
Network Security and Intrusion Detection
article

Artificial Intelligence to Improve Security of Cloud Networks

Vinod Kumar Singh, S. Kannan, E. Srinivasa Raju, P. Raghavendra Prasad, P. Gopala Krishna, K. H. P. Reddy
article en

Abstract

Cloud networks are important to businesses and individuals, and thus, their security is becoming an issue of increasing concern. Conventional security mechanisms fail to effectively counter dynamic cyber threats, but AI can be the real-time adaptive solution to improve protection. This study analyses the role of AI in improving cloud network security with tests conducted on various AI models with Random Forest, Support Vector Machine, and deep learning models with CNN and RNN, among others. These experiments showed that both CNN and RNN outperform the traditional approaches in terms of higher accuracy and lower false positives with faster responses, and only minimal impact on system performance; therefore, they are promising avenues for AI improvement of cloud security.

Madhya Pradesh Bhoj Open University (IN), IMS Unison University (IN), Institute of Public Enterprise (IN), University of Hyderabad (IN), Dr. Reddy's Laboratories (India) (IN), G Pulla Reddy Dental College & Hospital (IN), Rajiv Gandhi University of Knowledge Technologies (IN)
Openalex Percentile: Top 77%
Network Security and Intrusion Detection
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