ALERT

[FREE DEMO] Deploy Your Enterprise Cloud in Minutes

Anomaly Detection

Definition - What does Anomaly Detection mean?

Anomaly detection is the identification of data points, items, observations or events that do not conform to the expected pattern of a given group. These anomalies occur very infrequently but may signify a large and significant threat such as cyber intrusions or fraud.

Anomaly detection is heavily used in behavioral analysis and other forms of analysis in order to aid in learning about the detection, identification and prediction of the occurrence of these anomalies.

Anomaly detection is also known as outlier detection.

Techopedia explains Anomaly Detection

Anomaly detection is mainly a data-mining process and is used to determine the types of anomalies occurring in a given data set and to determine details about their occurrences. It is applicable in domains such as fraud detection, intrusion detection, fault detection, system health monitoring and event detection systems in sensor networks. In the context of fraud and intrusion detection, the anomalies or interesting items are not necessarily the rare items but those unexpected bursts of activities. These types of anomalies do not conform to the definition of anomalies or outliers as rare occurrences, so many anomaly detection methods do not work in these instances unless they have been appropriately aggregated or trained. So, in these cases, a cluster analysis algorithm may be more suitable for detecting the microcluster patterns created by these data points.

Techniques for anomaly detection include:
  • One-class support vector machines
  • Determination of records that deviate from learned association rules
  • Distance-based techniques
  • Replicator neural networks
  • Cluster analysis-based anomaly detection
Specific techniques for anomaly detection in security applications include:
  • Profiling methods
  • Statistical methods
  • Rule-based systems
  • Model-based approaches
  • Distance based methods

Techopedia Deals

Connect with us

Techopedia on Linkedin
Techopedia on Linkedin
Tweat cdn.techopedia.com
"Techopedia" on Twitter


'@Techopedia'
Sign up for Techopedia's Free Newsletter!

Email Newsletter

Join thousands of others with our weekly newsletter

Resources
The 4th Era of IT Infrastructure: Superconverged Systems
The 4th Era of IT Infrastructure: Superconverged Systems:
Learn the benefits and limitations of the 3 generations of IT infrastructure – siloed, converged and hyperconverged – and discover how the 4th...
Approaches and Benefits of Network Virtualization
Approaches and Benefits of Network Virtualization:
Businesses today aspire to achieve a software-defined datacenter (SDDC) to enhance business agility and reduce operational complexity. However, the...
Free E-Book: Public Cloud Guide
Free E-Book: Public Cloud Guide:
This white paper is for leaders of Operations, Engineering, or Infrastructure teams who are creating or executing an IT roadmap.
Free Tool: Virtual Health Monitor
Free Tool: Virtual Health Monitor:
Virtual Health Monitor is a free virtualization monitoring and reporting tool for VMware, Hyper-V, RHEV, and XenServer environments.
Free 30 Day Trial – Turbonomic
Free 30 Day Trial – Turbonomic:
Turbonomic delivers an autonomic platform where virtual and cloud environments self-manage in real-time to assure application performance.