2017
DOI: 10.1109/access.2017.2700330
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Physical Layer Authentication in Nano Networks at Terahertz Frequencies for Biomedical Applications

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Cited by 37 publications
(34 citation statements)
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“…in [242] addresses the security needs of the micro-macro link of a body area network. In [243], the authors consider a scenario where an onbody nano device communicates with inside-body nano device, while a malicious node attempts to send malicious/harmful data to the inside-body node. To this end, the authors utilize the measured pathloss as the fingerprint of transmit nano device to do the authentication at the physical layer.…”
Section: B Security In Em Based Nano Networkmentioning
confidence: 99%
“…in [242] addresses the security needs of the micro-macro link of a body area network. In [243], the authors consider a scenario where an onbody nano device communicates with inside-body nano device, while a malicious node attempts to send malicious/harmful data to the inside-body node. To this end, the authors utilize the measured pathloss as the fingerprint of transmit nano device to do the authentication at the physical layer.…”
Section: B Security In Em Based Nano Networkmentioning
confidence: 99%
“…In [79,80], application of channel fingerprints based physical layer authentication was studied in the MIMO system and IoT system, respectively. Another study [81] analyzed the challenges of introducing such an authentication mechanism into the terahertz network, and further designed corresponding methods according to specific channel characteristics. In addition, to simplify the authentication procedure and reduce handover authentication latency and complexity, studies [82,83] applied channel fingerprints based physical layer authentication into SDN-based heterogeneous network, by extracting the channel characteristics as security context information.…”
Section: Physical Layer Authenticationmentioning
confidence: 99%
“…PLA exploits the random features of the propagation medium which are nearly impossible to clone unless and until the malicious node is co-located with the legitimate node whose probability is almost zero in practice. To date, there are various features reported for physical layer authentication, e.g., received signal strength [6], channel impulse response [7], [8] channel frequency response [9], carrier frequency offset [10], pathloss [11] and I/Q imbalance [12] etc. More recently, distance, angle and position of the transmit node were reported in [10] to thwart the impersonation attack in an underwater acoustic sensor network.…”
Section: Introductionmentioning
confidence: 99%