GPU-based Classification for Wireless Intrusion Detection-Reference-Cited by-同舟云学术

GPU-based Classification for Wireless Intrusion Detection

Published:2020-06-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2021 on Systems and Network Telemetry and Analytics
language:
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Author:

Lazar Alina¹,Sim Alex²,Wu Kesheng²

Affiliation:

1. Youngstown State University, Youngstown, OH, USA

2. Lawrence Berkeley National Laboratory, Berkeley, CA, USA

Funder

U.S. Department of Energy

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3452411.3464445

Reference22 articles.

1. Feature Selection Improves Tree-based Classification for Wireless Intrusion Detection

2. A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPU

3. A Survey of Network Attacks on Cyber-Physical Systems

4. Ohio Supercomputer Center. 1987. Ohio Supercomputer Center. http://osc.edu/ark:/19495/f5s1ph73 Ohio Supercomputer Center. 1987. Ohio Supercomputer Center. http://osc.edu/ark:/19495/f5s1ph73

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