Analysis of injection capabilities and media access of IEEE 802.11 hardware in monitor mode

Günther, Stephan; Leclaire, Maurice; Michaelis, Julius; Carle, Georg

doi:10.1109/noms.2014.6838262

Cited by 10 publications

(3 citation statements)

References 11 publications

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“…A structural scheme of the development of the application is established where the characteristics of the functionality of the algorithm and the logical design are synthesized, as shown in Figure 2. Initially the methods used in the application are defined, then the console or terminal is used to establish the network card in monitor mode accessible to the user (Günther et al, 2014) in order to capture the control and management frames within the header of the link layer and the resources of the operating system, on which the application is running. Next, the graphic interface is loaded where two programming threads (subprocesses) are started simultaneously, one for data analysis and the other for the capture of the beacos frames.…”

Section: B Design Of the Programming Structurementioning

confidence: 99%

Software to obtain a statistical propagation model in real time

Rubio

Moreno

Rodríguez

2020

RLCT

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Section: B Design Of the Programming Structurementioning

confidence: 99%

Software to obtain a statistical propagation model in real time

Rubio

Moreno

Rodríguez

2020

RLCT

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“…A Class 10 MicroSD card of 32 GB was used for the storage of collected data. USB Wi-Fi Adapter: The Ralink RT5372 Wireless Chipset Adapter was used as the Wi-Fi adapter for its low cost and operation in monitor mode (Günther et al, 2014), allowing to capture the exchange of information between Wi-Fi devices without connection to a network. This adapter model also allows the adjustment of the power of the signal range and, thus, control over the capture radius.…”

Section: Detec8on Devicementioning

confidence: 99%

Bus passenger counts using Wi-Fi signals: some cautionary findings

2019

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Analisa-se a viabilidade de pesquisas sobre usuários de ônibus com base na detecção de endereços MAC WiFi de dispositivos portáteis. A motivação para o estudo decorre da aparente contradição entre casos de sucesso publicados na literatura e resultados de experimentos de campo que realizamos. Requisitos para identificação adequada de passageiros de ônibus são usados como base para avaliar as capacidades do hardware e software de detecção comumente disponíveis. Mais especificamente, os intervalos de tempo decorridos entre as detecções do mesmo dispositivo são tomados como requisito para a determinação do estado do portador do dispositivo e, portanto, a identificação deste como passageiro. Por exemplo, ao realizar pesquisas de embarque e desembarque com equipamentos de detecção instalados a bordo, é necessário que várias detecções ocorram logo após o embarque do passageiro e antes do desembarque, permitindo assim uma estimativa precisa da origem e destino da viagem. Resultados experimentais em ensaios controlados e não controlados indicam que os componentes disponíveis no mercado com software de código aberto podem não fornecer detecções bem-sucedidas. No experimento controlado, encontramos tempos de 40 s para a primeira detecção de 86% dos dispositivos e uma média de 80 s para a segunda detecção de dispositivos. Para o experimento não controlado de viagens em ônibus com carregamento médio, foram encontradas diferenças significativas entre as contagens manuais e os dispositivos detectados. Como resultado dessas observações empíricas, recomenda-se uma avaliação cuidadosa dos esquemas de detecção existentes usados nas pesquisas de número de passageiros.

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“…The time for medium access significantly differs depending on the actual implementation of the medium access and physical layer: while it is in the single-digit microsecond range and rather constant for switched, full-duplex Gigabit Ethernet networks [18], it is orders of magnitude larger in wireless networks due the complex medium access strategy and the shared nature of the medium [19]. If multiple transmitters contend for medium access, both the delay and its standard deviation may well be in the range of milliseconds for individual nodes.…”

Section: Framework For Reproducible Ncs Benchmarkingmentioning

confidence: 99%

Benchmarking Networked Control Systems

Gallenmüller¹,

Günther²,

Leclaire³

et al. 2018

2018 IEEE Workshop on Benchmarking Cyber-Physical Networks and Systems (CPSBench)

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Abstract-Smartification of devices and ever-increasing connectivity are major factors paving the way towards the creation of networked control systems (NCS). Traditionally, both domains involved in an NCS, network and control, are considered separately. Towards a novel methodology for benchmarking such systems, we propose a series of key performance indicators (KPIs) that are based on well-established foundations of both worlds. These KPIs form our framework for the development of an NCS benchmark. The majority of KPIs, particularly those from the network domain, are applicable to any type of NCS. We are currently implementing an evaluation platform based on Lego Mindstorms to demonstrate and apply our framework. Both the benchmarking framework and our platform are designed with high affordability and easy reproducibility in mind.We plan to release our source code and construction manuals to motivate others to recreate our benchmark.

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Analysis of injection capabilities and media access of IEEE 802.11 hardware in monitor mode

Cited by 10 publications

References 11 publications

Software to obtain a statistical propagation model in real time

Software to obtain a statistical propagation model in real time

Bus passenger counts using Wi-Fi signals: some cautionary findings

Benchmarking Networked Control Systems

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