BeamDancer Data
收藏资源简介：
This repository contains the code and data used to benchmark the BeamDancer system in the following paper: Marco Cominelli, Saghayegh Shahcheraghi, Jakob Link, Matthias Hollick, Federico Cerutti, Francesco Gringoli, Arash Asadi, "Physical-Layer Privacy via Randomized Beamforming Against Adversarial Wi-Fi Sensing: Analysis, Implementation, and Evaluation", accepted for publication in IEEE Transactions on Wireless Communications, 2024 This repository only contains data and scripts used to evaluate the performance of BeamDancer.The BeamDancer tool and its documentation are available at: https://github.com/seemoo-lab/beamdancer
本仓库包含用于在以下论文中对BeamDancer系统（BeamDancer）进行基准测试的代码与数据： 马可·科米内利（Marco Cominelli）、萨盖耶什·沙尔切拉吉（Saghayegh Shahcheraghi）、雅各布·林克（Jakob Link）、马蒂亚斯·霍利克（Matthias Hollick）、费德里科·塞鲁蒂（Federico Cerutti）、弗朗切斯科·格林戈利（Francesco Gringoli）、阿拉什·阿萨迪（Arash Asadi），论文题为《面向对抗性Wi-Fi感知的基于随机波束成形的物理层隐私：分析、实现与评估》，已被《IEEE无线通信汇刊》接收并将于2024年发表。 本仓库仅包含用于评估BeamDancer性能的数据与脚本。BeamDancer工具及其文档可通过以下链接获取：https://github.com/seemoo-lab/beamdancer
