DOC-IDS: A Deep Learning-Based Method for Feature Extraction and Anomaly Detection in Network Traffic

DOC-IDS: A Deep Learning-Based Method for Feature Extraction and Anomaly Detection in Network Traffic

With the growing diversity of cyberattacks in recent years, anomaly-based intrusion detection systems that can detect unknown attacks have attracted significant attention. Furthermore, a wide range of studies on anomaly detection using machine learning and deep learning methods have been conducted....

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Bibliographic Details
Main Authors: Naoto Yoshimura, Hiroki Kuzuno, Yoshiaki Shiraishi, Masakatu Morii
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Sensors
Subjects:
deep learning
feature extraction
anomaly detection
convolutional neural network
autoencoder
intrusion detection
Online Access:https://www.mdpi.com/1424-8220/22/12/4405

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https://www.mdpi.com/1424-8220/22/12/4405

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