Zero Trust-NIDS: Extended Multi-View Approach for Network Trace Anonymization and Auto-Encoder CNN for Network Intrusion Detection-Reference-Cited by-同舟云学术

Zero Trust-NIDS: Extended Multi-View Approach for Network Trace Anonymization and Auto-Encoder CNN for Network Intrusion Detection

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
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Author:

Alalmaie Abeer Z.¹,Nanda Priyadarsi¹,He Xiangjian²

Affiliation:

1. University of Technology Sydney,School of Electrical and Data Engineering,Sydney,Australia

2. University of Nottingham,Computer Science,Ningbo,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10063338/10063342/10063568.pdf?arnumber=10063568

Reference22 articles.

1. Applying convolutional neural network for network intrusion detection;ravi,2017

2. Zero trust maturity matters: modelling cyber security focus areas and maturity levels in the zero trust principle;modderkolk;Masters Department of Information and Computer Science Utrecht University,2018

3. Deep recurrent neural network for IoT intrusion detection system

4. Deep Recurrent Neural Network for Intrusion Detection in SDN-based Networks

5. A Deep Learning Approach for Intrusion Detection in Internet of Things using Bi-Directional Long Short-Term Memory Recurrent Neural Network

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1. HDCBAN: Hybrid Neural Network for Network Intrusion Detection System;2024 9th International Conference on Computer and Communication Systems (ICCCS);2024-04-19

2. Zt-Nids: Zero Trust - Network Intrusion Detection System Validation Based on Attack Simulations;2024

3. Advancing IoT Security with a Hybrid Deep Learning Model for Network Intrusion Detection;2023 International Conference on Energy, Materials and Communication Engineering (ICEMCE);2023-12-14

4. Temporal-Gated Graph Neural Network with Graph Sampling for Multi-step Attack Detection;2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom);2023-11-01