Software and Tools

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RF-Veil

This repository contains the data and code that we used for our paper "Stay Connected, Leave no Trace: Enhancing Security and Privacy in WiFi via Obfuscating Radiometric Fingerprints" (https://arxiv.org/abs/2011.12644).

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Safehaul

This simulator for mmWave self-backhauling is developed as part of the following article. If you use this module in your research, please cite the following paper: A. Ashtari Gargari, A. Ortiz, M. Pagin, A. Klein, M. Hollick, M. Zorzi, and A. Asadi, "Safehaul: Risk-Averse Learning for Reliable mmWave Self-Backhauling in 6G Networks," in IEEE Conference on Computer Communications (INFOCOM), New York, USA, 2023.

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Datasets