A systematic literature review of methods and datasets for anomaly-based network intrusion detection

By Zhen Yang, Xiaodong Liu, Tong Li, Di Wu, Jinjiang Wang, Yunwei Zhao, Han Han. Computers & security, 2022

327 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/ebf127f0af414adc77144eab8ada10cfa4b797f2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Mohammad Ali Jabraeil Jamali
2. Arash Heidari

In Computer Networks and Communications

1. Mohammad Ali Jabraeil Jamali
2. Arash Heidari

Citations in the corpus

• Internet of Things intrusion detection systems: a comprehensive review and future directions (2022, methodology): “True Negatives and True Positives make up the overall right forecasts, while False Positives and False Negatives make up the total wrong predictions [45].”