Anomaly

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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 order to develop an anomaly detection system that takes advantage of the features of this sort of optical fiber, Fujitsu has conducted joint research with Tohoku Electric Power.
Through GE's Predix Accelerator program, ThetaRay will focus on developing a generic anomaly detection microservice that will be offered as part of the Predix services catalog for any developers with a specific need to identify anomalies in big data.
This is clear confirmation of the importance of real-time anomaly detection for IT security and performance,” explains Jenny Yang, CEO of Metafor.
In a climate where the time between vulnerability and exploit continues to shrink, network anomaly detection is proving to be a critical element of defense-in-depth.
The AW139 HUMS Web Services package features dedicated data transmission software and website as well as the Advanced Anomaly Detection technology.
Feature Availability Anomaly Detection is currently an invitation-only feature and Loggly's Derived Fields Custom Parsing feature is available for all Loggly users.
Logentries' new Anomaly Detection and Inactivity Alerting enables users to easily create a baseline query to extract specific log-based data that they want to monitor and receive alerts on.
Trusted Computer Solutions assists organizations in their efforts to stay ahead of these threats through an advanced analysis engine that integrates statistical and content anomaly detection with standard Network Behavioral Anomaly Detection capabilities.
About Securonix Securonix provides the industry's first behavior based, signature-less anomaly detection engine that features advanced identity correlation, automated risk scoring and abnormality detection for access and activities.
Anomaly Detection is integrated into the NetQoS Performance Center to enable faster troubleshooting by showing how anomalies impact network and application performance across an organization.
White paper, video and case studies illustrate how anomaly detection prevents millions in fraud loss
Greg Shannon's presentation, "Detecting Botnets via Network Anomalies," will discuss how statistical anomaly detection sensors can be used as increasingly valuable tools for defending critical networks against malicious adversaries, including autonomous software robots (botnets), running malicious programs on compromised machines.