Security-Enhanced SC-FDMA Transmissions Using Temporal Artificial-Noise and Secret Key Aided Schemes

dc.contributor.ORCID0000-0002-7214-0745 (Marzban, MF)
dc.contributor.ORCID0000-0002-7315-8242 (EL Shafie, A)
dc.contributor.VIAF113149196515374792028 (Al-Dhahir, N)
dc.contributor.authorMarzban, Mohamed F.
dc.contributor.authorEl Shafie, Ahmed
dc.contributor.authorAl-Dhahir, Naofal
dc.contributor.authorHamila, Ridha
dc.contributor.utdAuthorMarzban, Mohamed F.
dc.contributor.utdAuthorEl Shafie, Ahmed
dc.contributor.utdAuthorAl-Dhahir, Naofal
dc.date.accessioned2020-08-17T16:14:53Z
dc.date.available2020-08-17T16:14:53Z
dc.date.issued2019-01-19
dc.description.abstractWe investigate the physical-layer security of uplink single-carrier frequency-division multiple-access (SC-FDMA) systems. Multiple users, Alices, send confidential messages to a common legitimate base-station, Bob, in the presence of an eavesdropper, Eve. To secure the legitimate transmissions, each user superimposes an artificial noise (AN) signal on the time-domain SC-FDMA data symbol. We reduce the computational and storage requirements at Bob's receiver by assuming simple per-sub-channel detectors. We assume that Eve has global channel knowledge of all links in addition to high computational capabilities, where she adopts high-complexity detectors such as single-user maximum likelihood (ML), multi-user minimum-mean-square-error, and multi-user ML. We analyze the correlation properties of the time-domain AN signal and illustrate how Eve can exploit them to reduce the AN effects. We prove that the number of useful AN streams that can degrade Eve's signal-to-noise ratio is dependent on the channel memories of Alices-Bob and Alices-Eve links. Furthermore, we enhance the system security for the case of partial Alices-Bob channel knowledge at Eve, where Eve only knows the precoding matrices of the data and AN signals instead of knowing the entire Alices-Bob channel matrices, and propose a hybrid security scheme that integrates temporal AN with channel-based secret key extraction.
dc.description.departmentErik Jonsson School of Engineering and Computer Science
dc.identifier.bibliographicCitationMarzban, Mohamed F., Ahmed El Shafie, Naofal Al-Dhahir, and Ridha Hamila. 2019. "Security-Enhanced SC-FDMA Transmissions Using Temporal Artificial-Noise and Secret Key Aided Schemes." IEEE Access 7: 14807-14824, doi: 10.1109/ACCESS.2019.2893801
dc.identifier.issn2169-3536
dc.identifier.urihttp://dx.doi.org/10.1109/ACCESS.2019.2893801
dc.identifier.urihttps://hdl.handle.net/10735.1/8804
dc.identifier.volume7
dc.language.isoen
dc.publisherIEEE-Inst Electrical Electronics Engineers Inc
dc.rightsOAPA (Open Access Publishing Agreement). Commercial use is prohibited.
dc.rights©2019 IEEE
dc.rights.urihttps://open.ieee.org/index.php/about-ieee-open-access/faqs/
dc.source.journalIEEE Access
dc.subjectSecurity systems
dc.subjectWireless communication systems
dc.subjectEavesdropping
dc.subjectOrthogonal frequency division multiplexing
dc.subjectFrequency division multiple access
dc.subjectMIMO systems
dc.subjectComputer science
dc.subjectEngineering
dc.subjectTelecommunication
dc.titleSecurity-Enhanced SC-FDMA Transmissions Using Temporal Artificial-Noise and Secret Key Aided Schemes
dc.type.genrearticle

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