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Preliminary research

H3Act: Automated Measuring Semantic Conversion Anomalies of HTTP/3-to-HTTP/1.1 Translation in CDNs

AI-collected research leads through 6 October 2026, including bounded month-by-month reviews of selected social and community sources from January through September. Unranked, incomplete, not community-vetted, and subject to change.

Presents H3Act, which generates structured HTTP/3 probes and analyzes their HTTP/1.1 translation at CDN backends. RFC retrieval, an attack corpus and generator/analyzer feedback guide testing; compressed payload representations and batch summaries support repeated investigation of semantic conversion anomalies.

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Researcher
Qihang Peng, Siyuan Tian, Yongxin Qiu, Jinyang Huang, Yaru Yang, Xiang Li, Jia Zhang, Yiming Zhang, Haixin Duan, Yunsenxiao Lin, Shugen Chen and Liqun Yang
Published by
USENIX

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This page is the archive's own catalogue record. The research is the work of Qihang Peng, Siyuan Tian, Yongxin Qiu, Jinyang Huang, Yaru Yang, Xiang Li, Jia Zhang, Yiming Zhang, Haixin Duan, Yunsenxiao Lin, Shugen Chen and Liqun Yang, first published at the original source. Preserved copies are kept so the citation survives its host.