SciRepID

Belum punya Author-ID ?

Judul	Sitasi	Tahun
Automated Detection Of Network Intrusions Using Machine Learning in Real-Time Systems (Aulia Novi, Ryan Satria) DOI : 10.62951/ijcts.v1i2.63 - Volume: 1, Issue: 2, Sitasi : 0 30-Apr-2024 \| Abstrak \| PDF File \| Resource \| Last.27-Jul-2025 Abstrak: 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.	0	2024