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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM47520

Anomaly Detection in Networks

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10.55041/IJSREM47520

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Monthly (12 issues per year)

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10.55041/IJSREM47520

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

RKD

Ravi Kumar D

TM

Tapasvi MI

YB

Yashaswini BC

YM

Yogeesh M

YSG

Yukths S Gowda

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Abstract

In Network Security is a major challenge in the digital world. Intrusion is common in many applications and intruders are sophisticated enough to change their attack pattern very often. To address this issue, the development of a model for the detection of network anomalies and intrusions. The approach utilizes the Borderline Synthetic Minority Over-Sampling Technique (SMOTE) along with Support Vector Machines (SVM) to enhance anomaly detection

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Cite This Article

Ravi Kumar D, Tapasvi MI, Yashaswini BC, Yogeesh M, Yukths S Gowda, "Anomaly Detection in Networks," International Journal of Scientific Research in Engineering and Management, May 2025. https://doi.org/10.55041/IJSREM47520

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5/13/2025

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