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ITEA is the Eureka Cluster on software innovation
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New attack traces

Project
19045 STACK
Type
New service
Description

We have published two attack traces on the STACK's github: one for the detection of blackhole attacks and one for the detection of flooding attacks. These also include traces without attacks. Such traces have not been available before. They can be used to train machine learning algorithms

Contact
Thiemo Voigt, RISE
Email
thiemo.voigt@ri.se
Research area(s)
IoT security, mesh networks
Technical features

Many traces per attack with a large number of parameters that can be used as features by the machine learning algorithms.

Integration constraints

N.A.

Targeted customer(s)

IoT security experts and developers that want to develop machine learning algorithms for attack detection

Conditions for reuse

Freely available

Confidentiality
Public
Publication date
08-12-2022
Involved partners
RISE - Research institutes of Sweden (SWE)
Yonsei University (KOR)