Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/603598
Title: GenePrint: Generic and Accurate Physical-Layer Identification for UHF RFID Tags
Authors: Jinsong Han;Chen Qian;Panlong Yang;Dan Ma;Zhiping Jiang;Wei Xi;Jizhong Zhao
subject: radio frequency identification (RFID);similarity;Physical-layer identification
Year: 2016
Publisher: IEEE
Abstract: Physical-layer identification utilizes unique features of wireless devices as their fingerprints, providing authenticity and security guarantee. Prior physical-layer identification techniques on radio frequency identification (RFID) tags require nongeneric equipments and are not fully compatible with existing standards. In this paper, we propose a novel physical-layer identification system, GenePrint, for UHF passive tags. The GenePrint prototype system is implemented by a commercial reader, a USRP-based monitor, and off-the-shelf UHF passive tags. Our solution is generic and completely compatible with the existing standard, EPCglobal C1G2 specification. GenePrint leverages the internal similarity among pulses of tags' RN16 preamble signals to extract a hardware feature as the fingerprint. We conduct extensive experiments on over 10 000 RN16 preamble signals from 150 off-the-shelf RFID tags. The results show that GenePrint achieves a high identification accuracy of 99.68% +. The feature extraction of GenePrint is resilient to various malicious attacks, such as the feature replay attack.
URI: http://localhost/handle/Hannan/135948
http://localhost/handle/Hannan/603598
ISSN: 1063-6692
1558-2566
volume: 24
issue: 2
Appears in Collections:2016

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Title: GenePrint: Generic and Accurate Physical-Layer Identification for UHF RFID Tags
Authors: Jinsong Han;Chen Qian;Panlong Yang;Dan Ma;Zhiping Jiang;Wei Xi;Jizhong Zhao
subject: radio frequency identification (RFID);similarity;Physical-layer identification
Year: 2016
Publisher: IEEE
Abstract: Physical-layer identification utilizes unique features of wireless devices as their fingerprints, providing authenticity and security guarantee. Prior physical-layer identification techniques on radio frequency identification (RFID) tags require nongeneric equipments and are not fully compatible with existing standards. In this paper, we propose a novel physical-layer identification system, GenePrint, for UHF passive tags. The GenePrint prototype system is implemented by a commercial reader, a USRP-based monitor, and off-the-shelf UHF passive tags. Our solution is generic and completely compatible with the existing standard, EPCglobal C1G2 specification. GenePrint leverages the internal similarity among pulses of tags' RN16 preamble signals to extract a hardware feature as the fingerprint. We conduct extensive experiments on over 10 000 RN16 preamble signals from 150 off-the-shelf RFID tags. The results show that GenePrint achieves a high identification accuracy of 99.68% +. The feature extraction of GenePrint is resilient to various malicious attacks, such as the feature replay attack.
URI: http://localhost/handle/Hannan/135948
http://localhost/handle/Hannan/603598
ISSN: 1063-6692
1558-2566
volume: 24
issue: 2
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7029721.pdf1.97 MBAdobe PDFThumbnail
Preview File
Title: GenePrint: Generic and Accurate Physical-Layer Identification for UHF RFID Tags
Authors: Jinsong Han;Chen Qian;Panlong Yang;Dan Ma;Zhiping Jiang;Wei Xi;Jizhong Zhao
subject: radio frequency identification (RFID);similarity;Physical-layer identification
Year: 2016
Publisher: IEEE
Abstract: Physical-layer identification utilizes unique features of wireless devices as their fingerprints, providing authenticity and security guarantee. Prior physical-layer identification techniques on radio frequency identification (RFID) tags require nongeneric equipments and are not fully compatible with existing standards. In this paper, we propose a novel physical-layer identification system, GenePrint, for UHF passive tags. The GenePrint prototype system is implemented by a commercial reader, a USRP-based monitor, and off-the-shelf UHF passive tags. Our solution is generic and completely compatible with the existing standard, EPCglobal C1G2 specification. GenePrint leverages the internal similarity among pulses of tags' RN16 preamble signals to extract a hardware feature as the fingerprint. We conduct extensive experiments on over 10 000 RN16 preamble signals from 150 off-the-shelf RFID tags. The results show that GenePrint achieves a high identification accuracy of 99.68% +. The feature extraction of GenePrint is resilient to various malicious attacks, such as the feature replay attack.
URI: http://localhost/handle/Hannan/135948
http://localhost/handle/Hannan/603598
ISSN: 1063-6692
1558-2566
volume: 24
issue: 2
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7029721.pdf1.97 MBAdobe PDFThumbnail
Preview File