learning-lte Goto Github PK

drone_hijack

Drone_hijack project

dronesecurityresearch

Record and backup for my drone research program

dsb-demodulator

A fork of Project-Desert-Tortoise

dyspan17_spectrumchallenge_kit

Provides the flowgraphs for the secondary user solution as presented at DySPAN 2017's Spectrum Challenge.

dyspanchallenge_2017

easyimsi

eazy-compile-gsm-sniffer-testing-environment

:mouse: :monkey_face: Install arm toolchain, osmocom-core and osmocom-bb [security testing only]

eia0

Check cipher support of LTE Networks with this srsLTE-based software.

em160r-gl

Quectel EM160R-GL is LTE Advanced Cat 16 module.

emane-model-lte

EMANE LTE Model

empower-srslte

SRSLTE base station software for LTE technologies integrated with the Empower agent.

enb

eNB s1 Emulator - S1AP and S1-U interfaces.

esemes

Bronco Hack 2016: Connecting mobile devices to the web without LTE

esp8266-sniffer

An easy experiment which uses the ESP8266 wifi module to look for near smartphones around you

evilbts

Rogue GSM BTS For Fun And Profit

evilbts-1

Rogue GSM BTS For Fun And Profit

evilcrow-rf

Evil Crow RF device.

example_1

examples

examples-1

extio_limesdr

LimeSDR ExtIO Plugin for HDSDR

face-mask-detector

Face mask detector system built with machine learning.

falcon

FALCON - Fast Analysis of LTE Control channels

falcon-examples

fascia

FASCIA is an open source software to collect, aggregate and store IMSI and related information including MCC, MNC, LAC and CellID (or other meta-information)

fastlacellsgenerator

Fast lacells.db database generator script for LocalGSMBackend by n76

feature-engineering-for-machine-learning

Code Repository for the online course Feature Engineering for Machine Learning

feature-selection-for-machine-learning

Code Repository for the online course Feature Selection for Machine Learning

fhss

Frequency Hopping Spread Spectrum Project

fhss-hopping-estimation

[1] Build a radio signal data set suitable for deep learning based on Gnuradio and HackRF-one. It can generate FSK,QPSK,FM,AM and other modulation modes and corresponding signal data of different frequency hopping period, frequency hopping rate and frequency hopping length. [2] Frequency hopping point estimation method based on RNN or other deep networks.