Examples of using Anomaly detection in English and their translations into Hebrew
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Network Anomaly Detection.
She's learning cross drive analysis and anomaly detection.
Look, I destroyed my anomaly detection network, but I can build you a new one… Don't.
Sandbox system assimilation, secured cloud management, network behavior anomaly detection systems.
UVeye's Anomaly detection accuracy rate has exceeded client threshold in all case studies to date.
First priority is the anomaly detection tech.
They should not only provide signature-based protection,but should also support positive security models and/or anomaly detection.
We cleared out the anomaly detection system.
You agree, by whatever deception is necessary,to persuade Evan Cross to reveal the whereabouts of his anomaly detection network.
It's consistent with my anomaly detection scheme.
The solution builds on anomaly detection so users can predict issues sooner and automate resolution before service level agreements(SLAs) are impacted.
I started working on it while the anomaly detection software recompiled.
Discretization of continuous features Feature selection Creates a model for classification Evaluationof extracted association rules and prioritizing them Anomaly detection.
This paper has proposed a novel strategy of performing anomaly detection of Unknown Linux/IOS Attacks.
Anomaly detection depends on models of users intended behaviors as well as applications and tends to interpret deviations from ordinary behavior as malicious activities evidence.
There are a few other methods, such as Magnetic Anomaly Detection, which further corroborate the work done by sonobuoys.
The requirement for real-time insights into such video streams is driving the use of AI techniques such as deep neural networks for tasks including classification,object detection and extraction, and anomaly detection. .
It is the first ever user and web-based anomaly detection technology designed for SDP solutions and Zero Trust architectures.
However, if the solution requires the flagging of anomalies  not present in the training data-set,Fujitsu's anomaly detection technology can provide this extra feature.
In data mining, anomaly detection(or outlier detection)  is the identification of items, events or observations which do not conform to an expected pattern or other items in a dataset.
In the next 12 months,respondents plan to implement industrial anomaly detection tools(42%) and security awareness training for staff.
The anomaly detection application presented in this paper tends to accommodate in form of input web servers web files that have a conformity to the Common Log Format(CLF) which generate a score that is anomaly  in nature for every web request(Liberty, 2002).
This paper proposes anintrusion detective system that employs a distinct anomaly detection method in the detection  of Unknown Linux/IOS Attacks.
Current container monitoring tools do a good job collecting metrics about the state of applications,but they fall short when providing dynamic anomaly detection to allow engineers to act based on those metrics.
He is a published researcher in INFOSEC and a trail-blazing expert in intrusion/anomaly detection in complex systems, including in cyber/cloud and utility computing.
QRadar- Q1- an SIEM solution of IBM that allows to utilize important organizational security events among the millions of events occurring all the time, while performingadvance analysis, such as anomaly detection by analyzing the communications traffic and concentrating events from the entire form of infrastructure and security in the organization.
It is the pioneer detection anomaly system modified to detecting Unknown Linux/IOS Attacks.
Industrial anomaly threat detection is especially relevant as every second ICS company surveyed admitted that external providers have access to industrial control networks in their organisation, widening the threat perimeter.