A Hybrid Online Offline System for Network Anomaly Detection-Reference-Cited by-同舟云学术

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A Hybrid Online Offline System for Network Anomaly Detection

Published:2019-07 Issue: Volume: Page:
ISSN:
Container-title:2019 28th International Conference on Computer Communication and Networks (ICCCN)
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Author:

Odiathevar Murugaraj,Seah Winston K. G.,Frean Marcus

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8840808/8846908/08847011.pdf?arnumber=8847011

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. QARF: A Novel Malicious Traffic Detection Approach via Online Active Learning for Evolving Traffic Streams;Chinese Journal of Electronics;2024-05

2. Network traffic anomaly detection based on deep learning: a review;International Journal of Computational Science and Engineering;2024

3. Real-Time Malicious Traffic Detection With Online Isolation Forest Over SD-WAN;IEEE Transactions on Information Forensics and Security;2023

4. Anomaly Detection System using ML Classification Algorithm for Network Security;2022 5th International Conference on Contemporary Computing and Informatics (IC3I);2022-12-14

5. Wk-fnn design for detection of anomalies in the computer network traffic;Facta universitatis - series: Electronics and Energetics;2022

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