Detecção online de dispositivos sem fio intrusos usando o sinal eletromagnético de transmissão
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2022-09-23
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Universidade Federal de Goiás
Resumo
The identification of Internet of Things (IoT) devices through the electromagnetic signal is a
topic widely investigated in the literature, and this technique is considered highly accurate by
several works. The use of offline techniques, that is, when there is no presence of new devices,
is widely explored, but so far, systems are not found effectively using the detection of
unknown devices in the online way, i.e. , one of the greatest potentials of this type of
technique has not been investigated. This work presents an online system that differentiates
authentic devices from intrusive devices. For this, the use of the probability matrix of
classifiers is explored, aiming to identify unknown devices by them. In addition to the
technique, it is also presented a system that features a modular, extensible and generic
architecture, which aims to minimally interfere with the normal flow of an Internet of Things
application. The system is implemented using the GNU Radio tool and experiments are
presented, which aim to show the feasibility of the technique. The entire discussion is based
on data collected from real environments, using devices from wireless communication
technologies LoRa and ZigBee. In addition, the work analyzed data from WiFi technology, from
collections found in the literature. Tests show that it is possible to identify unknown devices in
the order of milliseconds, with a low error rate.
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Citação
ABREU, M. F. B. Detecção online de dispositivos sem fio intrusos usando o sinal eletromagnético de transmissão. 2022. 58 f. Dissertação (Mestrado em Ciência da Computação) - Universidade Federal de Goiás, Goiânia, 2022.