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Anomaly detection

Known as: Anomaly, Deviation detection, Exception detection 
In data mining, anomaly detection (also outlier detection) is the identification of items, events or observations which do not conform to an expected… Expand
Wikipedia

Related topics

Related topics

32 relations
Artificial immune systemAssociation rule learningCluster analysisComputer forensics
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Broader (2)

Data miningData security

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
Deep Learning for Anomaly Detection: A Survey
Anomaly detection is an important problem that has been well-studied within diverse research areas and application domains. The… Expand
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Review
2019
Review
2019
A Survey of Network-based Intrusion Detection Data Sets
Abstract Labeled data sets are necessary to train and evaluate anomaly-based network intrusion detection systems. This work… Expand
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Review
2019
Review
2019
A comprehensive survey on network anomaly detection
Nowadays, there is a huge and growing concern about security in information and communication technology among the scientific… Expand
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Review
2019
Review
2019
A systems and control perspective of CPS security
Abstract The comprehensive integration of instrumentation, communication, and control into physical systems has led to the study… Expand
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Review
2019
Review
2019
Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges
While machine learning and artificial intelligence have long been applied in networking research, the bulk of such works has… Expand
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Review
2019
Review
2019
A holistic review of Network Anomaly Detection Systems: A comprehensive survey
Abstract Network Anomaly Detection Systems (NADSs) are gaining a more important role in most network defense systems for… Expand
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Review
2019
Review
2019
Real-time big data processing for anomaly detection: A Survey
Abstract The advent of connected devices and omnipresence of Internet have paved way for intruders to attack networks, which… Expand
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Highly Cited
2010
Highly Cited
2010
Anomaly detection in crowded scenes
A novel framework for anomaly detection in crowded scenes is presented. Three properties are identified as important for the… Expand
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Highly Cited
2003
Highly Cited
2003
Anomaly detection of web-based attacks
Web-based vulnerabilities represent a substantial portion of the security exposures of computer networks. In order to detect… Expand
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Highly Cited
2002
Highly Cited
2002
Anomaly detection from hyperspectral imagery
We develop anomaly detectors, i.e., detectors that do not presuppose a signature model of one or more dimensions, for three… Expand
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