IEEE 802.11B/G WLAN tolerance to jamming (abstractid#: 741)

Karhima, T.; Silvennoinen, A.; Hall, M.; Häggman, Sven-Gustav

doi:10.1109/milcom.2004.1495141

Cited by 33 publications

(28 citation statements)

References 2 publications

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“…The bottom X-axis tic marks represent the centre frequencies of the even numbered Wi-Fi channels, while the top X-axis tic marks show the channel numbers corresponding to those centre frequencies. Microwave Oven: Figure 3(a) shows that the microwave oven affects about half the available channels (6)(7)(8)(9)(10)(11)(12) in the 2.4 GHz band with the highest energy concentrated on channel 9. Note that the microwave oven is operating at high power levels of -80 to -60 dBm.…”

Section: Metricsmentioning

confidence: 99%

Ambient Interference Effects in Wi-Fi Networks

et al. 2010

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Abstract. This paper presents a measurement study of interference from six common devices that use the same 2.4 GHz ISM band as the IEEE 802.11 protocol. Using both controlled experiments and production environment measurements, we quantify the impact of these devices on the performance of 802.11 Wi-Fi networks. In our controlled experiments, we characterize the interference properties of these devices, as well as measure and discuss implications of interference on data, video, and voice traffic. Finally, we use measurements from a campus network to understand the impact of interference on the operational performance of the network. Overall, we find that the campus network is exposed to a large variety of non-Wi-Fi devices, and that these devices can have a significant impact on the interference level in the network.

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Section: Metricsmentioning

confidence: 99%

Ambient Interference Effects in Wi-Fi Networks

et al. 2010

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“…RF interference and jamming. RF interference is a classical problem in signal processing, and much prior literature on theoretical and simulation studies of narrow-band jamming on 802.11 modulations exists [18,24]. While they highlight specific vulnerabilities with particular modulation schemes, they mainly consider the demodulator performance in isolation.…”

Section: Related Workmentioning

confidence: 99%

Understanding and mitigating the impact of RF interference on 802.11 networks

GummadiRamakrishna

WetherallDavid

GreensteinBen

et al. 2007

SIGCOMM Comput. Commun. Rev.

132

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We study the impact on 802.11 networks of RF interference from devices such as Zigbee and cordless phones that increasingly crowd the 2.4GHz ISM band, and from devices such as wireless camera jammers and non-compliant 802.11 devices that seek to disrupt 802.11 operation. Our experiments show that commodity 802.11 equipment is surprisingly vulnerable to certain patterns of weak or narrow-band interference. This enables us to disrupt a link with an interfering signal whose power is 1000 times weaker than the victim's 802.11 signals, or to shut down a multiple AP, multiple channel managed network at a location with a single radio interferer. We identify several factors that lead to these vulnerabilities, ranging from MAC layer driver implementation strategies to PHY layer radio frequency implementation strategies. Our results further show that these factors are not overcome by simply changing 802.11 operational parameters (such as CCA threshold, rate and packet size) with the exception of frequency shifts. This leads us to explore rapid channel hopping as a strategy to withstand RF interference. We prototype a channel hopping design using PRISM NICs, and find that it can sustain throughput at levels of RF interference well above that needed to disrupt unmodified links, and at a reasonable cost in terms of switching overheads.

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“…We also confirm the importance of correct timing recovery and show a degradation in (reactive) jammer effectiveness that correlates with the proportion of preamble that is missed. The authors in [43] present results for the error performance of 802.11b/g networks under the influence of RF jamming. Their results show that wide-band jamming damages OFDM-based 802.11g communications more severely (up to 7 dB) than they affect 802.11b (spread spectrum).…”

Section: Related Workmentioning

confidence: 99%

Experimental Characterization and Modeling of RF Jamming Attacks on VANETs

Punal

Pereira

Aguiar

et al. 2015

IEEE Trans. Veh. Technol.

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Abstract-In this work, we evaluate the performance of 802.11p-based vehicular communications in the presence of RF jamming attacks. Specifically, we characterize the transmission success rate of a car-to-car link subject to constant, periodic, and reactive RF jamming. First, we conduct extensive measurements in an anechoic chamber, where we study the benefits of built-in techniques for interference mitigation. In addition, we identify that the periodic transmission of preamblelike jamming signals can hinder successful communication despite being up to five orders of magnitude weaker than the signal of interest. We further provide the rationale behind this remarkably high jammer effectiveness. Additionally, we quantify the impact of reaction delay and interference signal length on the effectiveness of the reactive jammer. Next, by means of outdoor measurements, we evaluate the suitability of the indoor measurements for being used as a model to characterize the performance of car-to-car communications in the presence of RF jamming. Finally, we conduct outdoor measurements emulating a vehicular platoon and study the threats that RF jamming poses to this VANET application. We observe that constant, periodic, but also reactive jammer can hinder communication over large propagation areas, which would threaten road safety.

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IEEE 802.11B/G WLAN tolerance to jamming (abstractid#: 741)

Cited by 33 publications

References 2 publications

Ambient Interference Effects in Wi-Fi Networks

Ambient Interference Effects in Wi-Fi Networks

Understanding and mitigating the impact of RF interference on 802.11 networks

Experimental Characterization and Modeling of RF Jamming Attacks on VANETs

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