Machine learning to detect anomalies in web log analysis-Reference-Cited by-同舟云学术

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Machine learning to detect anomalies in web log analysis

Published:2017-12 Issue: Volume: Page:
ISSN:
Container-title:2017 3rd IEEE International Conference on Computer and Communications (ICCC)
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Author:

Cao Qimin,Qiao Yinrong,Lyu Zhong

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8318023/8322494/08322600.pdf?arnumber=8322600

Cited by 27 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. Enhancing Firewall Packet Classification through Artificial Neural Networks and Synthetic Minority Over-Sampling Technique: An Innovative Approach with Evaluative Comparison;Applied Sciences;2024-08-22

2. MAAD: A Distributed Anomaly Detection Architecture for Microservices Systems;2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2024-05-27

3. A Graph-based Data Mining Approach for Template Recognition using Large Log Datasets in Software Systems;2024 21st International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON);2024-05-27

4. Improving Tree-Based Machine Learning (ML) Classifier Techniques for Web Mining: An Empirical Evaluation;2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE);2024-05-09

5. ARTIFICIAL INTELLIGENCE FOR GOOD AND BAD IN CYBER AND INFORMATION SECURITY;MATH INFORM;2024

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