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Geans: A GPU-accelerated Framework for Efficient End-to-End Anonymized Network Sensing

Year: 2025

Type: conference-paper

Source: IEEE High Performance Extreme Computing Conference

DOI: 10.1109/hpec67600.2025.11196263

Authors: Jun Mai, Qinggang Wang, Yu Huang, Pengcheng Yao, Long Zheng, Xiaofei Liao, Hai Jin

Institution: Huazhong University of Science and Technology

Language: English

Topic: Internet Traffic Analysis and Secure E-voting

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, National Key Research and Development Program of China

OpenAlex ID: W4415250747

FWCI:

Cites: 13

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