Internet of Things networks represent an emerging phenomenon bringing connectivity to common sensors. Due to the limited capabilities and to the sensitive nature of the devices, security assumes a crucial and primary role. In this paper, we report an innovative and extremely dangerous threat targeting IoT networks. The attack is based on Remote AT Commands exploitation, providing a malicious user the possibility to reconfigure or disconnect IoT sensors from the network. We present the proposed attack and evaluate its efficiency by executing tests on a real IoT network. Results demonstrate how the threat can be successfully executed and how it is able to focus on the targeted nodes, without affecting other nodes of the network.

Remotely Exploiting AT Command Attacks on ZigBee Networks

Ivan Vaccari;Enrico Cambiaso;Maurizio Aiello
2017

Abstract

Internet of Things networks represent an emerging phenomenon bringing connectivity to common sensors. Due to the limited capabilities and to the sensitive nature of the devices, security assumes a crucial and primary role. In this paper, we report an innovative and extremely dangerous threat targeting IoT networks. The attack is based on Remote AT Commands exploitation, providing a malicious user the possibility to reconfigure or disconnect IoT sensors from the network. We present the proposed attack and evaluate its efficiency by executing tests on a real IoT network. Results demonstrate how the threat can be successfully executed and how it is able to focus on the targeted nodes, without affecting other nodes of the network.
2017
Istituto di Elettronica e di Ingegneria dell'Informazione e delle Telecomunicazioni - IEIIT
Inglese
2017
9
https://www.hindawi.com/journals/scn/2017/1723658/
Sì, ma tipo non specificato
network security
internet of things
zigbee
wireless sensor network
cyber-security
3
info:eu-repo/semantics/article
262
Vaccari, Ivan; Cambiaso, Enrico; Aiello, Maurizio
01 Contributo su Rivista::01.01 Articolo in rivista
none
   Advanced Networked Agents for Security and Trust Assessment in CPS/IOT Architectures
   ANASTACIA
   H2020
   731558

   My Health - My Data
   MH-MD
   H2020
   732907
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/340619
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