Name
Abstract | ||
|---|---|---|
The development of the Internet has been characterized by a growing interest for the Internet-of-Things (IoT). In particular, connected devices are integrated to other Internet resources (such as cloud resources) to elaboratevalue-added services. However, they pose important challenges with respect to security management due to their heterogeneity, their distribution, and their limited resources. In this demonstration, we present a process mining toool for supporting IoT security. This tool is capable to automate the detection of misbehaviours and attacks in large and heterogeneous IoT infrastructures, based on process mining techniques combined with normalization and clustering data pre-processing. We detail the different building blocks of this tool provided into a docker container, and illustrate its operations with different scenarios. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/NOMS47738.2020.9110254 | NOMS |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Adrien Hemmer | 1 | 0 | 0.34 |
| Rémi Badonnel | 2 | 0 | 0.34 |
| Jérôme François | 3 | 170 | 21.81 |
| Isabelle Chrisment | 4 | 225 | 25.75 |