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
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
- FWCI
- 42.46
- Percentile
- 100%
- References
- 153
Authors
7Topics & keywords
- Intrusion detection system
- Computer science
- Field (mathematics)
- Anomaly detection
- Data mining
- Preprocessor
- Data science
- Data pre-processing