Point Cloud Analysis for ML-Based Malicious Traffic Detection: Reducing Majorities of False Positive Alarms-Reference-Cited by-同舟云学术

Point Cloud Analysis for ML-Based Malicious Traffic Detection: Reducing Majorities of False Positive Alarms

Published:2023-11-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security
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Author:

Fu Chuanpu¹^ORCID,Li Qi¹^ORCID,Xu Ke¹^ORCID,Wu Jianping¹^ORCID

Affiliation:

1. Tsinghua University, Beijing, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Beijing Outstanding Young Scientist Program

China National Funds for Distinguished Young Scientists

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3576915.3616631

Reference100 articles.

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3. ArcSight. Accessed Sep. 2023. Enterprise Security Manager. https://www.microfocus.com/en-us/cyberres/secops/arcsight-esm.

4. Daniel Arp et al. 2022. Dos and Don'ts of Machine Learning in Computer Security. In Security. USENIX.

5. AWS. accessed Sep. 2023. Alexa Top Websites. https://www.expireddomains.net/alexa-top-websites/.

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