Anomaly Intrusion Detection in Online Learning Space Based on XGBoost-Reference-Cited by-同舟云学术

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Anomaly Intrusion Detection in Online Learning Space Based on XGBoost

Published:2022-07-26 Issue: Volume: Page:
ISSN:
Container-title:2022 7th International Conference on Image, Vision and Computing (ICIVC)
language:
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Author:

Dong Qian¹,Sun Tingting²,Li Tingwei³,Lu Xiaoqian³,Yan Kai¹

Affiliation:

1. University of Electronic Science and Technology of China,School of Continuing Education,Chengdu,China

2. Library University of Electronic Science and Technology of China,Chengdu,China

3. University of Electronic Science and Technology of China,Information Center,Chengdu,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9886001/9885797/09886479.pdf?arnumber=9886479

Reference25 articles.

1. Host-based IDS: A review and open issues of an anomaly detection system in IoT

2. The use of computational intelligence in intrusion detection systems: A review

3. Intelligent Cyber Attack Detection and Classification for Network-Based Intrusion Detection Systems

4. Analysis of Host-Based and Network-Based Intrusion Detection System

5. Intrusion Detection using Continuous Time Bayesian Networks

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