Network Anomaly Detection: Methods, Systems and Tools
Tezpur University · University of Colorado Colorado Springs
Abstract
Network anomaly detection is an important and dynamic research area. Many network intrusion detection methods and systems (NIDS) have been proposed in the literature. In this paper, we provide a structured and comprehensive overview of various facets of network anomaly detection so that a researcher can become quickly familiar with every aspect of network anomaly detection. We present attacks normally encountered by network intrusion detection systems. We categorize existing network anomaly detection methods and systems based on the underlying computational techniques used. Within this framework, we briefly describe and compare a large number of network anomaly detection methods and systems. In addition, we…
Citation impact
- FWCI
- 57.70
- Percentile
- 100%
- References
- 259
Authors
3Topics & keywords
- Anomaly detection
- Computer science
- Intrusion detection system
- Anomaly-based intrusion detection system
- Anomaly (physics)
- Network security
- Data mining
- Categorization