On Practicality of Kernel Packet Processing Empowered by Lightweight Neural Network and Decision Tree
Author:
Affiliation:
1. Nara Institute of Science and Technology,Graduate School of Science and Technology,Ikoma,Japan
2. Kansai University,Faculty of Informatics,Takatsuki,Japan
Funder
Japan Society for the Promotion of Science
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10302728/10302750/10302811.pdf?arnumber=10302811
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1. A Framework for eBPF-Based Network Functions in an Era of Microservices
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5. A Modified Cascaded Feed Froward Neural Network Distributed Denial of Service Attack Detection using Improved Regression based Machine Leaning Approach
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1. Real-Time Intrusion Detection and Prevention with Neural Network in Kernel Using eBPF;2024 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN);2024-06-24
2. Practicality of in-kernel/user-space packet processing empowered by lightweight neural network and decision tree;Computer Networks;2024-02
3. On Practicality of Kernel Packet Processing Empowered by Lightweight Neural Network and Decision Tree;2023 14th International Conference on Network of the Future (NoF);2023-10-04
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