Intrusion detection systems for the internet of things: a probabilistic anomaly detection approach

被引：0

作者：

Bali, Nadia ^{[1
]}

Jaoua, Zied ^{[1
]}

Bzeouich, Olfa ^{[1
]}

Abbassi, Imed ^{[2
]}

机构：

[1] High Institute of Mathematics and Computing, University of Monastir, Monastir, Tunisia

[2] LR-OASIS, National Engineering School of Tunis, University of Tunis El Manar, Tunis, Tunisia

来源：

International Journal of Computers and Applications | 2024年 / 46卷 / 11期

关键词：

Compendex;

D O I：

10.1080/1206212X.2024.2400148

中图分类号：

学科分类号：

摘要：

Anomaly detection - Deep learning - Gaussian distribution - Intrusion detection - K-means clustering - Markov processes - Unsupervised learning - Variational techniques

引用

页码：933 / 944

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