Anomaly detection
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Abstract
Anomaly detection is an important problem that has been researched within diverse research areas and application domains. Many anomaly detection techniques have been specifically developed for certain application domains, while others are more generic. This survey tries to provide a structured and comprehensive overview of the research on anomaly detection. We have grouped existing techniques into different categories based on the underlying approach adopted by each technique. For each category we have identified key assumptions, which are used by the techniques to differentiate between normal and anomalous behavior. When applying a given technique to a particular domain, these assumptions can be used as…
Citation impact
11,029
total citations
- FWCI
- 339.09
- Percentile
- 100%
- References
- 400
Citations per year
Authors
3Topics & keywords
Topics
Keywords
- Computer science
- Anomaly detection
- Domain (mathematical analysis)
- Key (lock)
- Anomaly (physics)
- Data mining
- Data science
- Artificial intelligence
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Funding
- NSNational Science FoundationAward: ACI-0325949
- NANational Aeronautics and Space AdministrationAward: NNX08AC36A
- DODivision of Computer and Network SystemsAward: CNS-0551551IIS-0713227IIS-0308264
- DODivision of Information and Intelligent SystemsAward: CNS-0551551IIS-0713227IIS-0308264
- DODivision of Advanced CyberinfrastructureAward: ACI-0325949