This project aims to provide a simple and convenient interface relying on Contiki OS to generate Cooja simulations and deploy malicious motes for a Wireless Sensor Network (WSN) that uses Routing Protocol for Low-power and lossy devices (RPL) (RFC 6550) as its network layer.
With this framework, it is possible to easily define campaign of simulations (in JSON format) either redefining RPL configuration constants, modifying single lines from the ContikiRPL library or using an own external RPL library. Moreover, experiments in a campaign can be generated either based on a same or a randomized topology for each simulation.
See the Wiki for additional documentation.
| The malicious mote has 3, 7, 10 in its range | Power tracking without the malicious mote | Power tracking with the malicious mote |
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| Legitimate DODAG | Versioning attack in action (global repair) |
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| Power tracking without the malicious mote | Power tracking with the malicious mote |
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| Legitimate DODAG | Blackhole attack in action |
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| Legitimate DODAG | Blackhole attack in action |
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- Clone this repository
$ git clone https://github.com/dhondta/rpl-attacks.git
Behind a proxy ?
Setting:
git config --global http.proxy http://[user]:[pwd]@[host]:[port]Unsetting:
git config --global --unset http.proxyGetting:
git config --global --get http.proxy
- Create the VM
$ vagrant login
[...]
$ vagrant up
Important notes
The downloads of the Vagrant box may take a while, please be patient...
Also, after the creation of the VM, Vagrant may complain that the SSH connection was unexpectedly closed by the remote end. In practice, this does not affect the creation and operation of the box.
Behind a proxy ?
Install the plugin:
vagrant plugin install vagrant-proxyconfConfigure Vagrant: Uncomment the lines starting with
config.proxyin theVagrantfile
Troubleshooting:
- Ensure the latest version of Vagrant is installed
- If using
virtualboxprovider, ensure Oracle Extension Pack is installed (see Oracle website)
Using Instant Contiki or another distribution:
The full manual installation procedure is available here and mentions InstantContiki but it is advised to use the Vagrant box as it was fully tested.
This will make 3 complete examples of attacks : hello flood, version number and blackhole.
Open the console like before and type:
user@instant-contiki:rpl-attacks>> demo
Or simply launch the demo command with Fabric:
./rpl-attacks$ fab demo
- Open the console (you should see something like in the following screenshot)
./rpl-attacks$ python main.py
or
./rpl-attacks$ fab console
- Create a campaign of simulations
user@instant-contiki:rpl-attacks>> prepare sample-attacks
- Go to your experiments folder (default:
~/Experiments) and edit your newsample-attacks.jsonto suit your needs
See How to create a campaign of simulations ? for more information.
- Make the simulations
user@instant-contiki:rpl-attacks>> make_all sample-attacks
- Run the simulations (multi-processed)
user@instant-contiki:rpl-attacks>> run_all sample-attacks
Hint : You can type status during make_all and run_all processing for getting the status of pending tasks.
- Once tasks are in status
SUCCESSin the status tables (visible by typingstatus), just go to the experiment'sresultsfolders to get pictures and logs of the simulations. The related paths are the followings :
[EXPERIMENTS_FOLDER]/[experiment_name]/without-malicious/results/
[EXPERIMENTS_FOLDER]/[experiment_name]/with-malicious/results/
In case of bug, there should be a crash report generated in the folder of the experiment that the framework was processing. By convention, this is named crash-report-[...].txt. Please copy its content (without the title) in a new Issue.
For contributions or suggestions, please open an Issue and clearly explain, using an example or a use case if appropriate.
If you want to build new RPL attacks, please refer to the How to make new building blocks ? section. In this case, please submit your new attack through a Pull Request.
