Anomaly

(redirected from Anomaly detection)
Also found in: Dictionary, Thesaurus, Medical, Legal, Encyclopedia, Wikipedia.

Anomaly

An unusual or unrepeatable event. For example, a stock index inexplicably rising 20% in a week during a bear market may constitute an anomaly.
References in periodicals archive ?
In terms of anomaly detection, think of standard deviation as establishing a threshold that will trigger when a datapoint varies too far from the average.
Keywords: Anomaly detection, misuse detection, traffic pattern, hybrid approach.
Malwarebytes' Anomaly Detection Engine is an innovative technique for identifying malware.
From our experience at Anodot, a real time business analytics company and vendor of anomaly detection systems, anomaly detection accomplishes three main things:
By automating anomaly detection and empowering near real-time threat response, we are able to put the power back in the hands of the security operations team.
Webroot will continue to create new solutions that address current and future security use cases, combining a proven track record in endpoint security and threat intelligence with innovative FlowScape anomaly detection to address both known and currently unknown threats.
At present, the main methods of virtual machine anomaly detection on Cloud platforms are to collect system operation logs and various performance metrics of the virtual machine status and then determine the anomaly using anomaly detection methods such as statistics, clustering, classification, and nearest neighbor.
Metafor's innovative machine learning based anomaly detection technology can analyze thousands of metrics and events in real-time from virtually any data source.
The approach taken in statistical anomaly detection is to use data from (predominantly normal) previous situations to build a statistical model of what is normal.
Objectives: This study analyzed a reliable, high-performance, end-to-end, modular process for early event detection that included data loading and transformation, statistical anomaly detection, and tools for user interaction.
Mazu Profiler(TM), the leading network anomaly detection system specifically designed to protect the internal network, proved successful in contending with Zotob because it allowed Mazu Networks' customers to respond: