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All Journal International Journal of Computer Technology and Science
Aulia Novi
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Computer Science & IT

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Automated Detection Of Network Intrusions Using Machine Learning in Real-Time Systems Aulia Novi; Ryan Satria
International Journal of Computer Technology and Science Vol. 1 No. 2 (2024): April : International Journal of Computer Technology and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijcts.v1i2.63

Abstract

Network intrusion detection is crucial for maintaining the integrity of real-time systems. This paper evaluates various machine learning algorithms, including support vector machines (SVM) and decision trees, for real-time intrusion detection. Through extensive testing on simulated datasets, the study highlights the advantages of automated detection in reducing response times and enhancing network security.
Co-Authors Ryan Satria