KubAnomaly: Anomaly Detection for the Docker Orchestration Platform With Neural Network Approaches

Engineering Reports
doi 10.1002/eng2.12080
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Wiley

Related search

Function-Aware Anomaly Detection Based on Wavelet Neural Network for Industrial Control Communication

Security and Communication Networks
Computer NetworksInformation SystemsCommunications
2018English

Anomaly Detection of CAN Bus Messages Using a Deep Neural Network for Autonomous Vehicles

Applied Sciences (Switzerland)
InstrumentationMaterials ScienceFluid FlowEngineeringComputer Science ApplicationsProcess ChemistryTransfer ProcessesTechnology
2019English

Water Quality Anomaly Detection Approach Based on a Neural Network Prediction Model

2018English

A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data

Proceedings of the AAAI Conference on Artificial Intelligence
2019English

Statistical Approaches for Semi-Supervised Anomaly Detection in Machining

Production Engineering
IndustrialMechanical EngineeringManufacturing Engineering
2020English

Designing an Approach for Network Traffic Anomaly Detection

International Journal of Computer Applications
2012English

Cloud Computing Platform Based on the Docker

DEStech Transactions on Computer Science and Engineering
2017English

Network Anomaly Detection Using PSO-ANN

International Journal of Computer Applications
2013English

TR-IDS: Anomaly-Based Intrusion Detection Through Text-Convolutional Neural Network and Random Forest

Security and Communication Networks
Computer NetworksInformation SystemsCommunications
2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy