Applications of Machine Learning and Deep Learning in Intrusion Detection System: A Comprehensive Survey

The information stored within an organization plays a vital role in determining its success. When someone intentionally targets a computer’s stored data, both the computer itself and the connected network become vulnerable to attack.So, to address these issues, one of the most important security solutions is the use of IDS. Many scholars have focused on AI-based intrusion detection systems, & this paper presents a brief summary of several AI-based intrusion detection systems and provides deeper insights so that next researchers may grasp the different ways AI is being used for intrusion detection systems.

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Publication Details

Published
2025-02-27
DOI
https://doi.org/10.1109/isacc65211.2025.10969401
Citations
1
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
1.49
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article

Applications of Machine Learning and Deep Learning in Intrusion Detection System: A Comprehensive Survey

S. Md. S. Askari, Ram Prasad, Moge Riba
1 citations
Network Security and Intrusion Detection
1.49
article

Applications of Machine Learning and Deep Learning in Intrusion Detection System: A Comprehensive Survey

S. Md. S. Askari, Ram Prasad, Moge Riba
article en
1 citations

Abstract

The information stored within an organization plays a vital role in determining its success. When someone intentionally targets a computer’s stored data, both the computer itself and the connected network become vulnerable to attack.So, to address these issues, one of the most important security solutions is the use of IDS. Many scholars have focused on AI-based intrusion detection systems, & this paper presents a brief summary of several AI-based intrusion detection systems and provides deeper insights so that next researchers may grasp the different ways AI is being used for intrusion detection systems.

Rajiv Gandhi University of Health Sciences (IN), Dibrugarh University (IN)
Openalex Percentile: Top 18%
Network Security and Intrusion Detection
1.49
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