DeepContainer: A Deep Learning-based Framework for Real-time Anomaly Detection in Cloud-Native Container Environments

DeepContainer: A Deep Learning-based Framework for Real-time Anomaly Detection in Cloud-Native Container Environments

This paper presents DeepContainer, a novel deep learning-based framework for real-time anomaly detection in cloud-native container environments. The proposed framework addresses critical security challenges in containerized infrastructures through an innovative integration of neural network archite...

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Bibliographic Details
Main Authors: Ke Xiong, Zhonghao Wu,  Xuzhong Jia
Format: Article
Language:English
Published: Scientific Publication Center 2025-01-01
Series:Journal of Advanced Computing Systems
Subjects:
Cloud-Native Security
Container Anomaly Detection
Deep Learning
Real-time Threat Detection
Online Access:https://scipublication.com/index.php/JACS/article/view/79
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