A Hybrid parallel deep learning model for efficient intrusion detection based on metric learning

A Hybrid parallel deep learning model for efficient intrusion detection based on metric learning

With the rapid development of network technology, a variety of new malicious attacks appear while attack methods are constantly updated. As the attackers exploit the vulnerabilities of popular third-party components to invade target websites, further improving the classification accuracy of maliciou...

Full description

Bibliographic Details
Main Authors:	Shaokang Cai, Dezhi Han, Xinming Yin, Dun Li, Chin-Chen Chang
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2022-12-01
Series:	Connection Science
Subjects:	network intrusion detection deep learning hybrid parallel network multi-classification feature fusion metric learning
Online Access:	http://dx.doi.org/10.1080/09540091.2021.2024509

Similar Items

Network intrusion detection using feature fusion with deep learning
by: Abiodun Ayantayo, et al.
Published: (2023-11-01)

Learn-IDS: Bridging Gaps between Datasets and Learning-Based Network Intrusion Detection
by: Minxiao Wang, et al.
Published: (2024-03-01)

MFVT: an anomaly traffic detection method merging feature fusion network and vision transformer architecture
by: Ming Li, et al.
Published: (2022-04-01)

A GBDT-Paralleled Quadratic Ensemble Learning for Intrusion Detection System
by: Jun Yang, et al.
Published: (2020-01-01)

Feature Fusion and NRML Metric Learning for Facial Kinship Verification
by: Fahimeh Ramazankhani, et al.
Published: (2023-04-01)

PCCN: Parallel Cross Convolutional Neural Network for Abnormal Network Traffic Flows Detection in Multi-Class Imbalanced Network Traffic Flows
by: Yong Zhang, et al.
Published: (2019-01-01)

Enhanced Intrusion Detection in In-Vehicle Networks Using Advanced Feature Fusion and Stacking-Enriched Learning
by: Ali Altalbe
Published: (2024-01-01)

T-DFNN: An Incremental Learning Algorithm for Intrusion Detection Systems
by: Mahendra Data, et al.
Published: (2021-01-01)

Deep Metric Learning: A Survey
by: Mahmut Kaya, et al.
Published: (2019-08-01)

Feature extraction for machine learning-based intrusion detection in IoT networks
by: Mohanad Sarhan, et al.
Published: (2024-02-01)

A Deep Learning Method With Filter Based Feature Engineering for Wireless Intrusion Detection System
by: Sydney Mambwe Kasongo, et al.
Published: (2019-01-01)

Extracting salient features for network intrusion detection using machine learning methods
by: Ralf C. Staudemeyer, et al.
Published: (2014-06-01)

Deep learning for network intrusion: A hierarchical approach to reduce false alarms
by: Samuel J. Moore, et al.
Published: (2023-05-01)

Robust Network Intrusion Detection System Based on Machine-Learning With Early Classification
by: Taehoon Kim, et al.
Published: (2022-01-01)

Proxy-Based Rotation Invariant Deep Metric Learning for Remote Sensing Image Retrieval
by: Zhoutao Cai, et al.
Published: (2024-01-01)

A novel ensemble learning-based model for network intrusion detection
by: Ngamba Thockchom, et al.
Published: (2023-04-01)

A Multi-Layer Classification Approach for Intrusion Detection in IoT Networks Based on Deep Learning
by: Raneem Qaddoura, et al.
Published: (2021-04-01)

A Multi-Channel Contrastive Learning Network Based Intrusion Detection Method
by: Jian Luo, et al.
Published: (2023-02-01)

A Fusional Intrusion Detection Method Based on the Hierarchical Filtering and Progressive Detection Model
by: Xueqin Gao, et al.
Published: (2023-01-01)

Robust Person Re-Identification Through the Combination of Metric Learning and Late Fusion Techniques
by: Hong-Quan Nguyen, et al.
Published: (2021-08-01)

Machine Learning for Network Intrusion Detection—A Comparative Study
by: Mustafa Al Lail, et al.
Published: (2023-07-01)

Multiscale Local Feature Fusion: Marine Microalgae Classification for Few-Shot Learning
by: Dan Liu, et al.
Published: (2023-04-01)

Design of advanced intrusion detection systems based on hybrid machine learning techniques in hierarchically wireless sensor networks
by: Gebrekiros Gebreyesus Gebremariam, et al.
Published: (2023-12-01)

Heterogeneous Ensemble Feature Selection for Network Intrusion Detection System
by: Yeshalem Gezahegn Damtew, et al.
Published: (2023-02-01)

Intrusion Detection based on a Novel Hybrid Learning Approach
by: L. khalvati, et al.
Published: (2018-03-01)

Spatial Residual Blocks Combined Parallel Network for Hyperspectral Image Classification
by: Buyi Zhang, et al.
Published: (2020-01-01)

A non-intrusive load monitoring algorithm based on multiple features and decision fusion
by: Yanzhen Li, et al.
Published: (2021-11-01)

Network Anomaly Intrusion Detection Based on Deep Learning Approach
by: Yung-Chung Wang, et al.
Published: (2023-02-01)

Deep Q-Learning Based Reinforcement Learning Approach for Network Intrusion Detection
by: Hooman Alavizadeh, et al.
Published: (2022-03-01)

Non-intrusive load decomposition based on CNN–LSTM hybrid deep learning model
by: Xinxin Zhou, et al.
Published: (2021-11-01)

Deep Learning-Based Intrusion Detection With Adversaries
by: Zheng Wang
Published: (2018-01-01)

An Improved Feature Pyramid Network and Metric Learning Approach for Rail Surface Defect Detection
by: Zhendong He, et al.
Published: (2023-05-01)

A multimodal hybrid parallel network intrusion detection model
by: Shuxin Shi, et al.
Published: (2023-12-01)

Comparison of Machine Learning and Deep Learning Models for Network Intrusion Detection Systems
by: Niraj Thapa, et al.
Published: (2020-09-01)

Detecting Zero-Day Intrusion Attacks Using Semi-Supervised Machine Learning Approaches
by: Innocent Mbona, et al.
Published: (2022-01-01)

Design of Network Intrusion Detection System Using Lion Optimization-Based Feature Selection with Deep Learning Model
by: Rayed AlGhamdi
Published: (2023-11-01)

Hierarchical Intrusion Detection Using Machine Learning and Knowledge Model
by: Martin Sarnovsky, et al.
Published: (2020-02-01)

High Performance Network Intrusion Detection System Using Two-Stage LSTM and Incremental Created Hybrid Features
by: Jonghoo Han, et al.
Published: (2023-02-01)

Complex Network Metrics: Can Deep Learning Keep up With Tailor-Made Reference Algorithms?
by: Sebastian Wandelt, et al.
Published: (2020-01-01)

HAST-IDS: Learning Hierarchical Spatial-Temporal Features Using Deep Neural Networks to Improve Intrusion Detection
by: Wei Wang, et al.
Published: (2018-01-01)