Combating alert fatigue with AlertPro: Context-aware alert prioritization using reinforcement learning for multi-step attack detection-Reference-Cited by-同舟云学术

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Combating alert fatigue with AlertPro: Context-aware alert prioritization using reinforcement learning for multi-step attack detection

Published:2024-02 Issue: Volume:137 Page:103583
ISSN:0167-4048
Container-title:Computers & Security
language:en
Short-container-title:Computers & Security

Author:

Wang Xiaoyu^ORCID,Yang Xiaobo^ORCID,Liang Xueping^ORCID,Zhang Xiu,Zhang Wei,Gong Xiaorui

Funder

Chinese Academy of Sciences

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference46 articles.

1. Collection mechanism and reduction of ids alert;Al-Saedi;Int. J. Comput. Appl.,2012

2. 99% false positives: a qualitative study of SOC analysts' perspectives on security alarms;Alahmadi,2022

3. Combating threat-alert fatigue with online anomaly detection using isolation forest;Aminanto,2019

4. Combat security alert fatigue with ai-assisted techniques;Ban,2021

Cited by 1 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. Mitigating Alert Fatigue in Cloud Monitoring Systems: A Machine Learning Perspective;Computer Networks;2024-08

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