articleComputers & SecurityFeb 28, 2022HYBRID OA

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

Beijing University of Technology · National Computer Network Emergency Response Technical Team/Coordination Center of Chinar

Indexed incrossref

Abstract

As network techniques rapidly evolve, attacks are becoming increasingly sophisticated and threatening. Network intrusion detection has been widely accepted as an effective method to deal with network threats. Many approaches have been proposed, exploring different techniques and targeting different types of traffic. Anomaly-based network intrusion detection is an important research and development direction of intrusion detection. Despite the extensive investigation of anomaly-based network intrusion detection techniques, there lacks a systematic literature review of recent techniques and datasets. We follow the methodology of systematic literature review to survey and study 119 top-cited papers on…

Citation impact

328
total citations
FWCI
42.46
Percentile
100%
References
153
Citations per year

Authors

7

Topics & keywords

Keywords
  • Intrusion detection system
  • Computer science
  • Field (mathematics)
  • Anomaly detection
  • Data mining
  • Preprocessor
  • Data science
  • Data pre-processing
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