DCH: A Deep Learning Approach To Universal Header Compression For The Internet of Things-Reference-Cited by-同舟云学术

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DCH: A Deep Learning Approach To Universal Header Compression For The Internet of Things

Published:2023-10-30 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems
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Author:

Meslet-Millet Fabien¹^ORCID,Mouysset Sandrine²^ORCID,Chaput Emmanuel¹^ORCID

Affiliation:

1. IRIT/Toulouse INP-ENSEEIHT, Toulouse, France

2. IRIT/UPS, Toulouse, France

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3616388.3617522

Reference28 articles.

1. Richard Lippmann Joshua W. Haines David J. Fried Jonathan Korba and Kumar Das. 2000. The 1999 darpa off-line intrusion detection evaluation. 34 4. Richard Lippmann Joshua W. Haines David J. Fried Jonathan Korba and Kumar Das. 2000. The 1999 darpa off-line intrusion detection evaluation. 34 4.

2. Hanan Hindy and al. 2020. Mqtt-iot-ids2020: mqtt internet of things intrusion detection dataset. (2020). Hanan Hindy and al. 2020. Mqtt-iot-ids2020: mqtt internet of things intrusion detection dataset. (2020).

3. Laksh Bhatia , Michael Breza , Ramona Marfievici , and Julie A . McCann . 2020 . Loed : the lorawan at the edge dataset. (Sept. 2020). Laksh Bhatia, Michael Breza, Ramona Marfievici, and Julie A. McCann. 2020. Loed: the lorawan at the edge dataset. (Sept. 2020).

4. Thinwire protocol for connecting personal computers to the internet;Farber David J.;RFC,1984

5. Compressing TCP/IP headers for low-speed serial links;Jacobson Van;RFC,1990

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