IoTMap: A protocol-agnostic multi-layer system to detect application patterns in IoT networks - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year :

IoTMap: A protocol-agnostic multi-layer system to detect application patterns in IoT networks

François Lesueur
Laurent Guyon
Hicham Ben-Hassine
  • Function : Author

Abstract

The growth of the Internet of Things (IoT) results in a proliferation of different protocols (ZigBee, Bluetooth, 6LowPAN, Z-Wave, Wi-Fi, etc.). Organizations tend to quickly deploy several IoT applications over time and thus face heterogeneous IoT systems, combining different IoT protocols in different places of the overall system. This heterogeneity of protocols makes these networks hard to monitor or control, and some misconfigurations or unexpected device behaviours may even expose users to security issues. In this work, we propose the IoTMap system. IoTMap models interconnected and heterogeneous IoT networks, combining different protocols, by providing a generic stack and a unified packet format. IoTMap builds an iterative graph model where high-level semantics can progressively be deduced, ranging from packet transmission to application-type analysis. As such, IoTMap detects application behaviours amongst devices implementing different protocols, interconnected through a multi-protocol hub. In its current implementation (available at https://github.com/AlgoSecure/iotmap), IoTMap can inspect Zig- Bee, BLE and 6LowPAN networks.
Fichier principal
Vignette du fichier
iotmap.pdf (614.3 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-02917680 , version 1 (19-08-2020)

Identifiers

  • HAL Id : hal-02917680 , version 1

Cite

Jonathan Tournier, François Lesueur, Frédéric Le Mouël, Laurent Guyon, Hicham Ben-Hassine. IoTMap: A protocol-agnostic multi-layer system to detect application patterns in IoT networks. 10th International Conference on the Internet of Things (IoT 2020), Oct 2020, Malmö, Sweden. ⟨hal-02917680⟩
117 View
213 Download

Share

Gmail Facebook Twitter LinkedIn More