Feature extraction approaches to RF fingerprinting for device identification in femtocells

Scanlon, Patricia; Kennedy, Irwin O.; Liu, Yongheng

doi:10.1002/bltj.20462

Cited by 86 publications

(50 citation statements)

References 9 publications

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“…In previous works, the RF fingerprint of transmitters is generated by extracting the frequency domain features from the steady-state signal [9,13,21,22]. In this paper, the RF fingerprint consists of PSD coefficients and is given as:…”

Section: A Data Collection and Rf Fingerprintmentioning

confidence: 99%

Effect of channel impairments on radiometric fingerprinting

Rehman

Sowerby

Alam

et al. 2015

2015 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)

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Abstract-To increase network security and mitigate identity theft attacks, much of the research is focused on traditional bit-level algorithmic. In conventional wireless networks, security issues are primarily considered above the physical layer and are usually based on bit-level algorithms to establish the identity of a legitimate wireless device. Physical layer security is a new paradigm in which features extracted from an analog signal can be used to establish the unique identity of a transmitter. Our previous research work into Radiometric fingerprinting has shown that every transmitter has a unique fingerprint owing to imperfections in the analog components present in the RF front end. However, to the best of the author's knowledge, no such example is available in the literature in which the effect of radio channel on Radiometric fingerprint is evaluated. This paper presents the simulation and experimental results for radiometric fingerprinting under an indoor varying radio channel. Contrary to popular assumption, it was found that the fingerprinting accuracy is little affected in an indoor channel environment.

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Section: A Data Collection and Rf Fingerprintmentioning

confidence: 99%

Effect of channel impairments on radiometric fingerprinting

Rehman

Sowerby

Alam

et al. 2015

2015 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)

View full text Add to dashboard Cite

show abstract

“…Nowadays, almost all digital communication systems (CRN, Wireless Sensor Network (WSN), RFID, Wireless Local Area Network (WLAN), UMTS etc.) introduce a preamble at the start of packet transmission in order to simplify the receiver design [11]. The preamble provides the common signal necessary for successful fingerprinting.…”

Section: Rf Fingerprinting Backgroundmentioning

confidence: 99%

“…A modulation based RF fingerprinting scheme is easy to implement on low-end RF hardware as compared to transient based RF fingerprinting, which requires higher sampling rate due to its relatively short period. In previous works, the RF fingerprint of transmitters is generated by extracting the frequency domain features from the steady-state signal [11,12,34,35]. In this paper, the frequency domain RF fingerprinting technique proposed by the Suski et al is used for impersonation attack evaluation.…”

Section: Rf Fingerprinting Schemementioning

confidence: 99%

“…RF fingerprinting has been evaluated for a number of wireless devices operating on different standards, which include Cognitive Radio Networks (CRN) [9,10], Universal Mobile Telecommunications System (UMTS) [11], Wi-Fi [9,12], push-to-talk transmitters [13], Bluetooth [14,15] and Radio-Frequency Identification (RFID) [16,17]. It has been found that every transmitter has a unique RF fingerprint due to imperfection in the analog components present in the RF front end [18].…”

mentioning

confidence: 99%

“…The main goal of RF fingerprinting is the detection of unique features from the received analog signals that allow the identification of a specific transmitter. The majority of previously reported researches present promising results with up to 99% correct identification of transmitters using RF fingerprinting alone [4,5,9,11,[13][14][15][16]. Generally, it is believed that RF fingerprinting is a secure and robust technique.…”

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confidence: 99%

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