2016
DOI: 10.3390/s16091453
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Channel-Based Key Generation for Encrypted Body-Worn Wireless Sensor Networks

Abstract: Body-worn sensor networks are important for rescue-workers, medical and many other applications. Sensitive data are often transmitted over such a network, motivating the need for encryption. Body-worn sensor networks are deployed in conditions where the wireless communication channel varies dramatically due to fading and shadowing, which is considered a disadvantage for communication. Interestingly, these channel variations can be employed to extract a common encryption key at both sides of the link. Legitimat… Show more

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Cited by 10 publications
(14 citation statements)
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“…In the NLoS case an improvement is obtained, with a zero KER occurring at a threshold level of 7 dB for the 614µs measurement interval, instead of 9 dB for the 5 ms interval. Corresponding to earlier indoor measurements [6], the KER decreases with a steeper slope for the LoS case, compared to the NLoS case.…”
Section: Key Error Rate After Reconciliationsupporting
confidence: 51%
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“…In the NLoS case an improvement is obtained, with a zero KER occurring at a threshold level of 7 dB for the 614µs measurement interval, instead of 9 dB for the 5 ms interval. Corresponding to earlier indoor measurements [6], the KER decreases with a steeper slope for the LoS case, compared to the NLoS case.…”
Section: Key Error Rate After Reconciliationsupporting
confidence: 51%
“…The research and development to obtain faster reciprocal channel measurements, as outlined in this paper, was performed with the expectation that measurements performed by Alice and Bob would match significantly better with only 614µs delay in between them, compared to 5 ms in previous publications [6]. However, the improvement in practical key generation is limited and only visible for the measurement in NLoS conditions, where the threshold level for a zero KER is 2 dB lower, resulting in fewer discarded channel samples and hence a higher key-generation rate.…”
Section: Discussionmentioning
confidence: 99%
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“…Several types of channel parameters can be obtained from the communication between wireless devices, i.e., received signal strength (RSS) [ 26 , 27 , 28 , 29 ], channel impulse response (CIR) [ 30 ], and ultra-wideband (UWB) [ 31 ]. These parameters are obtained from the average signal strength provided by the physical layer within a certain time period.…”
Section: Introductionmentioning
confidence: 99%
“…The system utilizes the principle of reciprocity from electromagnetic propagation which shows that the channel characteristics obtained by the sender and receiver will be the same if the measurement is carried out within coherence time. Some studies use the received signal strength (RSS) as one of the characteristics of radio channels [19,20,21,22,23]. These channel characteristics are the most available characteristics in wireless devices with various standards, i.e., Bluetooth, IEEE 802.15.4, and IEEE 802.11.…”
Section: Introductionmentioning
confidence: 99%