Radio‐frequency fingerprinting for mitigating primary user emulation attack in low‐end cognitive radios

Rehman, Saeed Ur; Sowerby, K.W.; Coghill, Colin

doi:10.1049/iet-com.2013.0568

Cited by 53 publications

(40 citation statements)

References 46 publications

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“…We used a fixed power in the experiments because the connection present fails when the power is variable and the location is dynamic. The experiments focus on selfish attack, because the malicious can be seen as a jammer [14,15]. A USRP is used for the PUE network due to the sensing and transmission capabilities.…”

Section: Primary User Emulation Attackmentioning

confidence: 99%

Detection of dynamic location primary user emulation on mobile cognitive radio networks using USRP

Muñoz

Rodríguez-Colina

Martínez

et al. 2020

J Wireless Com Network

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The study and the detection of possible network attacks are essential for wireless networks, in particular for mobile cognitive radio networks due to its characteristics such as the dynamic spectrum allocation and constant frequency hopping. The primary user emulation attack is one of the most significant attacks in cognitive radio, because it hazards the complete cognitive cycle. The techniques used for the detection of primary user emulation found in the literature are based on a fixed attacker location. However, in a mobile environment, the attacker usually has dynamic locations and this compromises the current applied security techniques and generates inefficient attack detection. Therefore, our work proposes a novel technique using cross-layer design for the detection of primary user emulation with mobility. This attack detection technique was tested with experiments using software-defined radio equipment and mobile phones at indoor scenarios with dynamic locations and with a mobile phone base station built up also with software-defined radio. The obtained results show that the combination of the three utilized techniques, energy detection, motion estimation, and application information analysis, are able to optimize the detection with around 100% of effectiveness for the primary user emulation attack with dynamic location. The proposed technique shows that the energy detection time is around 100 ms and for the processing time of the information analysis in the mobile phone is about 30 s. This result shows a practical and effective approach to detect primary emulation attacks. The proposed technique, to the best of the authors' knowledge, has not been presented before in the literature with experiments neither with mobility conditions of the attacker as presented in our proposed work.

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Section: Primary User Emulation Attackmentioning

confidence: 99%

Detection of dynamic location primary user emulation on mobile cognitive radio networks using USRP

Muñoz

Rodríguez-Colina

Martínez

et al. 2020

J Wireless Com Network

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“…In other words, the RF fingerprints collected with one receiver cannot be used to track a wireless device using another receiver. As described in [13], these differences impact the identification or the verification accuracy not only when receivers with different quality are used (high-end receiver and low-end receivers) but also across receivers of the similar quality. This is still an open research problem at the time of writing this paper.…”

Section: Related Workmentioning

confidence: 99%

An Analysis of the Privacy Threat in Vehicular Ad Hoc Networks due to Radio Frequency Fingerprinting

Baldini

Giuliani

Pons

2017

Mobile Information Systems

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In Vehicular Ad Hoc Networks (VANETs) used in the road transportation sector, privacy risks may arise because vehicles could be tracked on the basis of the information transmitted by the Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I) communications implemented with the Dedicated Short Range Communications (DSRC) standards operating at 5.9 GHz. Various techniques have been proposed in the literature to mitigate these privacy risks including the use of pseudonym schemes, but they are mostly focused on data anonymization at the network and application layer. At the physical layer, the capability to accurately identify and fingerprint wireless devices through their radio frequency (RF) emissions has been demonstrated in the literature. This capability may generate a privacy threat because vehicles can be tracked using the RF emissions of their DSRC devices. This paper investigates the privacy risks related to RF fingerprinting to determine if privacy breaches are feasible in practice. In particular, this paper analyzes the tracking accuracy in challenging RF environments with high attenuation and fading.

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“…All the values are assigned randomly using a uniform distribution from the given range. The collected signals from our previous work [5] were passed through a simulated multipath channel and its effect on the performance of RF fingerprinting was analyzed. We have used seven similar transmitter and receivers for collecting the signals but results are shown for one receiver only 1 .…”

Section: Channelmentioning

confidence: 99%

Radio frequency fingerprinting and its challenges

Rehman

Sowerby

Alam

et al. 2014

2014 IEEE Conference on Communications and Network Security

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Abstract-RF fingerprinting aims to develop a unique RF fingerprint for a wireless device that can be used as an identity, in the same way a biological fingerprint operates, to improve the security and privacy of wireless communication. This is in contrast to the traditional bitlevel algorithmic approaches to securing transmissions. In this work, we present a comprehensive overview of challenges in the deployment of RF fingerprinting in low-cost portable mobile devices including: the preliminary results showing the effect of channel impairments on RF fingerprinting accuracy and open research challenges associated with the deployment of RF fingerprinting.

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Radio‐frequency fingerprinting for mitigating primary user emulation attack in low‐end cognitive radios

Cited by 53 publications

References 46 publications

Detection of dynamic location primary user emulation on mobile cognitive radio networks using USRP

Detection of dynamic location primary user emulation on mobile cognitive radio networks using USRP

An Analysis of the Privacy Threat in Vehicular Ad Hoc Networks due to Radio Frequency Fingerprinting

Radio frequency fingerprinting and its challenges

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