A tool for creating 4G/5G environments both with SDRs and virtual simulation to run experiments in
Project description
Blue Team
The following directory has a series of tools that are used for defending and building out environments for running scenarios in.
4G/5G Environment Creation Tool
Dependencies
- Linux with a recent kernel
- Docker
- python3 and pip3
- uhd-host (
sudo apt-get install -y uhd-host
)
Installation
The main tool in this directory is called daedalus
and can be installed with easily with pip:
pip3 install daedalus-5g
or locally:
git clone https://github.com/IQTLabs/Daedalus
cd Daedalus/blue
sudo python3 setup.py install
Once installed, you can simply execute daedalus
and you will be prompted for the 4G/5G environments you'd like it to create.
** Note **
AMD64 CPUs must support SSE4.1, AVX, AVX2, and FMA. If you don't have those, you can alternatively try starting daedalus with -b which will build the images locally and might work.
ARM64 CPUs don't have those requirements, but you will need g++ when pip installing for grpc.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
daedalus-5g-0.11.7.tar.gz
(28.7 kB
view details)
Built Distribution
File details
Details for the file daedalus-5g-0.11.7.tar.gz
.
File metadata
- Download URL: daedalus-5g-0.11.7.tar.gz
- Upload date:
- Size: 28.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.18
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7a35ff40f5fbb4355a151e6cc7a707d10042e782d157631699c52f3f151ee379 |
|
MD5 | f1a2df749ab961cbfe46e5a655fd54d5 |
|
BLAKE2b-256 | b41d84737491c0418d77eee3ee04ab02a7568a1336839c779d060c9b90ee7392 |
File details
Details for the file daedalus_5g-0.11.7-py3-none-any.whl
.
File metadata
- Download URL: daedalus_5g-0.11.7-py3-none-any.whl
- Upload date:
- Size: 43.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.18
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 81f2c271c44f1c11e25e99d5f6999dd226c23a77bee8cc7db90501a50c29692f |
|
MD5 | f1b13ab942c2bdc8a7ada2d0c5d23ee3 |
|
BLAKE2b-256 | 72a5b054446c00d4dd4a70cb5a1b049c3faf02ace8ef984b86e5e298e562c7ab |