P4Pir

Author:

Zang Mingyuan1,Zheng Changgang2,Stoyanov Radostin2,Dittmann Lars1,Zilberman Noa2

Affiliation:

1. Technical University of Denmark

2. University of Oxford

Publisher

ACM

Reference20 articles.

1. Martín Abadi , Paul Barham , Jianmin Chen , Zhifeng Chen , Andy Davis , Jeffrey Dean , Matthieu Devin , Sanjay Ghemawat , Geoffrey Irving , Michael Isard , 2016 . Tensorflow: A system for large-scale machine learning . In 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 16) . 265--283. Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, et al. 2016. Tensorflow: A system for large-scale machine learning. In 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 16). 265--283.

2. P4

3. Coralie Busse-Grawitz , Roland Meier , Alexander Dietmüller , Tobias Bühler , and Laurent Vanbever . 2019. pForest: In-network inference with random forests. arXiv ( 2019 ). arXiv:1909.05680 Coralie Busse-Grawitz, Roland Meier, Alexander Dietmüller, Tobias Bühler, and Laurent Vanbever. 2019. pForest: In-network inference with random forests. arXiv (2019). arXiv:1909.05680

4. Passban IDS: An Intelligent Anomaly-Based Intrusion Detection System for IoT Edge Devices

5. Yong Feng , Zhikang Chen , Haoyu Song , Wenquan Xu , Jiahao Li , Zijian Zhang , Tong Yun , Ying Wan , and Bin Liu . 2022 . Enabling In-situ Programmability in Network Data Plane: From Architecture to Language . In 19th USENIX Symposium on Networked Systems Design and Implementation (NSDI 22) . 635--649. Yong Feng, Zhikang Chen, Haoyu Song, Wenquan Xu, Jiahao Li, Zijian Zhang, Tong Yun, Ying Wan, and Bin Liu. 2022. Enabling In-situ Programmability in Network Data Plane: From Architecture to Language. In 19th USENIX Symposium on Networked Systems Design and Implementation (NSDI 22). 635--649.

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1. Demo: P4Xtnd: P4 Programmability on Resource Constrained Environments with Extended Network Functionalities;Proceedings of the ACM SIGCOMM 2024 Conference: Posters and Demos;2024-08-04

2. Marina: Realizing ML-Driven Real-Time Network Traffic Monitoring at Terabit Scale;IEEE Transactions on Network and Service Management;2024-06

3. Planter: Rapid Prototyping of In-Network Machine Learning Inference;ACM SIGCOMM Computer Communication Review;2024-01-30

4. PiGateway: Real-time granular analysis of smart home network traffic using P4;Computer Communications;2024-01

5. Federated Learning-Based In-Network Traffic Analysis on IoT Edge;2023 IFIP Networking Conference (IFIP Networking);2023-06-12

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