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dc.contributor.authorRehman, Saeed
dc.contributor.authorAlam, Shafiq
dc.contributor.authorArdekani, Iman
dc.description.abstractRadio Frequency (RF) fingerprinting is a security mechanism inspired by biological fingerprint identification systems. RF fingerprinting is proposed as a means of providing an additional layer of security for wireless devices. RF fingerprinting classification is performed by selecting an “unknown” signal from the pool, generating its RF fingerprint, and using a classifier to correlate the received RF fingerprint witheach profile RF fingerprint stored in the database. Unlike a human biological fingerprint, RF fingerprint of a wireless device changes with the received Signal to Noise Ratio (SNR) and varies due to mobility of the transmitter/receiver and environment. The variations in the features of RF fingerprints affect the classification results of the RF fingerprinting. This chapter evaluates the performance of the KNN and neural network classification for varying SNR. Performance analysis is performed for three scenarios that correspond to the situation, when either transmitter or receiver is mobile, and SNR changes from low to high or vice versa.en_NZ
dc.publisherIGI Globalen_NZ
dc.subjectradio frequency (RF) fingerprintingen_NZ
dc.subjectwireless devicesen_NZ
dc.subjectnetwork securityen_NZ
dc.titleSecurity of Wireless Devices using Biological-Inspired RF Fingerprinting Techniqueen_NZ
dc.rights.holderIGI Globalen_NZ
dc.subject.marsden080303 Computer System Securityen_NZ
dc.identifier.bibliographicCitationRehman, S., Alam, S. and Ardekani, I. T. (2014). Security of Wireless Devices using Biological-Inspired RF Fingerprinting Technique. In Biologically-Inspired Techniques for Knowledge Discovery and Data Mining. IGI Global(Eds.), (p..311-330). NOTE: PARTIAL EXTRACT FROM CHAPTERen_NZ
unitec.institutionUnitec Institute of Technologyen_NZ
unitec.institutionUniversity of Aucklanden_NZ
unitec.publication.titleBiologically-Inspired Techniques for Knowledge Discovery and Data Miningen_NZ
dc.contributor.affiliationUnitec Institute of Technologyen_NZ
dc.contributor.affiliationUniversity of Aucklanden_NZ

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