Machine Learning in Cyber security

Data science powers cyber security advancements by using machine learning to detect patterns and build intelligent systems. It addresses issues like phishing, network intrusion, and spam detection. By analyzing data, extracting features, and training models, machine learning enhances security. Regular updates and combining models improve accuracy in detecting evolving cyber threats. Keywords— Security, Machine Learning, Survey, Machine Learning, Intrusion Detection, Spam Cyber security

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Institutions

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2024-12-30
DOI
https://doi.org/10.55041/ijsrem40331
Citations
3
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.70
Controls
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article

Machine Learning in Cyber security

Tanishq Gupta
3 citations
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Network Security and Intrusion Detection
0.70
article

Machine Learning in Cyber security

Tanishq Gupta
article en
3 citations

Abstract

Data science powers cyber security advancements by using machine learning to detect patterns and build intelligent systems. It addresses issues like phishing, network intrusion, and spam detection. By analyzing data, extracting features, and training models, machine learning enhances security. Regular updates and combining models improve accuracy in detecting evolving cyber threats. Keywords— Security, Machine Learning, Survey, Machine Learning, Intrusion Detection, Spam Cyber security

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 08(12)
Babu Banarasi Das University (IN)
Openalex Percentile: Top 26%
Network Security and Intrusion Detection
0.70
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