Host-based intrusion detection with multi-datasource and deep learning-Reference-Cited by-同舟云学术

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Host-based intrusion detection with multi-datasource and deep learning

Published:2023-11 Issue: Volume:78 Page:103625
ISSN:2214-2126
Container-title:Journal of Information Security and Applications
language:en
Short-container-title:Journal of Information Security and Applications

Author:

Hwang Ren-Hung^ORCID,Lee Chieh-Lun,Lin Ying-Dar,Lin Po-Chin^ORCID,Wu Hsiao-Kuang^ORCID,Lai Yuan-Cheng^ORCID,Chen C.K.^ORCID

Funder

National Science and Technology Council

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality,Software

Reference32 articles.

1. A survey on anomaly based host intrusion detection system;Jose;J Phys Conf Ser,2018

2. A survey of intrusion detection systems leveraging host data;Bridges;ACM Comput Surv,2019

3. Deep learning approaches for anomaly-based intrusion detection systems: A survey, taxonomy, and open issues;Aldweesh;Knowl-Based Syst,2020

4. A novel intrusion detection system based on hierarchical clustering and support vector machines;Horng;Expert Syst Appl,2011

5. A novel SVM-kNN-PSO ensemble method for intrusion detection system;Aburomman;Appl Soft Comput,2016

Cited by 2 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. Two-stage multi-datasource machine learning for attack technique and lifecycle detection;Computers & Security;2024-07

2. Intrusion Detection System Based on ViTCycleGAN and Rules;Lecture Notes in Computer Science;2024

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