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On-node attack detection
- Project
- 19045 STACK
- Type
- New system
- Description
We have created a machine learning for attack detection of a routing attack on RPL-based IoT mesh networks. This machine learning model is small enough to run on individual IoT nodes. It has been tested in both simulation and on a testbed of resource-constrained IoT devices.
- Contact
- Thiemo Voigt
- thiemo.voigt@ri.se
- Research area(s)
- IoT security, Intrustion detection
- Technical features
The detection method is small enough to run on resource-constrained IoT nodes
- Integration constraints
Currently integrated into the Contiki-NG operating systems
- Targeted customer(s)
IoT developers and IoT companies
- Conditions for reuse
will be available with BSD license
- Confidentiality
- Public
- Publication date
- 08-12-2022
- Involved partners
- RISE - Research institutes of Sweden (SWE)