Adaptive and Optimum Secret Key Establishment for Secure Vehicular Communications

Bottarelli, Mirko; Karadimas, Petros; Epiphaniou, Gregory; Ismail, Dhouha Kbaier Ben; Maple, Carsten

doi:10.1109/tvt.2021.3056638

Cited by 27 publications

(23 citation statements)

References 44 publications

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“…In [10], an M -NUQ was proposed for Gamma distributed RSS channel samples to extract high entropy secret key bits from the wireless channel. In [21], 2-NUQ was used for Rayleigh channel to extract high entropy secret key bits from the envelope of the wireless channel. Most of the aforementioned quantizer designs have targeted increasing only the KAP of the legitimate nodes and little attention was given to jointly increasing the KAP and SKR.…”

Section: A Relevant Workmentioning

confidence: 99%

“…An analytical framework for determining quantization intervals for SKG was recently proposed in [10] that employs a multi-level Cumulative Distribution Function (CDF)-based NUQ strategy intending to increase SKR performance in conjunction with KGR and KAP. In [21], a 2-level Average Fade Duration (AFD)-based quantization scheme is proposed for the Rayleigh fading channels. Recently, [14] proposed a novel quantifier named Average Contiguous Duration (ACD) for the characterization of wireless fading channels, and the Nakagami-m, Rice, and Rayleigh fading channels were investigated.…”

Section: A Relevant Workmentioning

confidence: 99%

“…This requirement puts restrictions on the design of channel quantization and sample encoding steps of the SKG schemes. Channel quantization is usually performed either based on the PDF [10], the AFD [21], or channel parameters such as the sample mean µ computed from samples collected at Alice and Bob [11]. Recently, [14] has proposed the ACD as another important channel metric to determine suitable quantization thresholds for the channel samples to perform SKG.…”

Section: H ( ) (T)mentioning

confidence: 99%

“…In NUQ, the channel-range is divided into quantization intervals of unequal widths (with the exception of uniformly distributed channel envelope) based on statistical knowledge of the wireless channel. Such a NUQ scheme can be based on CDF (or equivalently PDF) of the channel samples [10], [21] or it can be based on the ACD metric [14].…”

Section: B Non-uniform Quantization (Nuq)mentioning

confidence: 99%

“…From the on going analysis, it can be established that by setting L = 4, i.e., as equal to the ACD-floor level L = floor(Ψ), the optimal performance trade-off between K G and K A can be achieved. The proposed M -level ACD-based quantization scheme can be deduced to represent the 2-level AFD-based quantization scheme proposed in [21] by substituting M = 2.…”

Section: Performance Trade-off Between Kgr Kg and Kap Ka For Both Cdf-and Acd-based Nuqmentioning

confidence: 99%

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Average Contiguous Duration (ACD)-Based Quantization for Secret Key Generation in Generalized Gamma Fading Channels

et al. 2021

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The wireless channel-based Secret Key Generation (SKG) algorithms aim at securing the wireless link against unauthorized eavesdropping by exploiting the channel's randomness for generating matching secret keys at the legitimate nodes for message encryption/decryption. To counter differences in hardware and noise conditions at the legitimate nodes, which can lead to key mismatch, the SKG algorithms typically include the intermediate steps of sampling, quantization, information reconciliation, and privacy amplification. These steps collectively aim to improve the performance trade-offs between Key Generation Rate (KGR), Key Agreement Probability (KAP), and Secret Key Randomness (SKR) properties. This paper derives a closed-form expression for the Average Contiguous Duration (ACD) of Generalized Gamma (GG) fading wireless channels. The ACD is a recently introduced novel quantifier for characterizing the second-order statistics of fading channels, which includes Average Fade Duration (AFD) as its special case. The proposed GG fading ACD expression is shown to include, as its special cases, the ACD for commonly observed fading distributions such as Gamma, Nakagami-m, and Rayleigh. By exploiting the derived GG ACD expression, a multi-level quantization scheme for SKG is proposed that determines suitable quantization intervals for identical likelihood of an equal number of consecutive channel samples falling in each quantization interval. A comprehensive comparative analysis of the proposed ACD-based quantization for SKG is conducted in relation to conventional Uniform Quantization (UQ) and Cumulative Distribution Function (CDF)-based Non-Uniform Quantization (NUQ) schemes. The presented numerical results confirm the superior performance trade-off between KGR and KAP offered by the proposed ACDbased quantization in relation to that offered by UQ and CDF-based NUQ.

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Section: A Relevant Workmentioning

confidence: 99%