Multi-factor Physical Layer Security Authentication in Short Blocklength Communication

Mitev, Miroslav; Shekiba-Herfeh, Mahdi; Chorti, Arsenia; Reed, Martin

doi:10.48550/arxiv.2010.14457

Cited by 3 publications

(3 citation statements)

References 48 publications

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“…The path loss is deterministic (i.e., location-based) and, therefore, useful for authentication purposes, e.g., using localization information in multi-factor authentication protocols [8], while shadowing exhibits high correlation in time/frequency/space. On the contrary, the small-scale fading is a valuable entropy source for secret key generation (SKG).…”

Section: Introductionmentioning

confidence: 99%

Joint Localization-based Node Authentication and Secret Key Generation

Srinivasan

Skaperas

Herfeh

et al. 2022

ICC 2022 - IEEE International Conference on Communications

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In this paper, we devise preprocessing schemes to disentangle channel state information (CSI) into predictable and unpredictable components to simultaneously provide two cornerstone security operations. The predictable components are used for node authentication and the unpredictable components for secret key generation (SKG). For the case of SKG, to prevent Eve from exploiting potential spatial, frequency or time correlations with the legitimate users, which would reduce the effective key space through a decrease in the brute force attack size, in this work, we emphasise the need for reducing the spatial correlation (SC) at different transmitter locations. We also study the trade-off between SC and reconciliation in the uplink and the downlink. Furthermore, we discuss the importance of a more robust criterion -independence -over decorrelation between the legitimate users and eavesdroppers. Finally, we propose a metric for quantifying uniqueness in the predictable components for node authentication, using the total variation distance (TVD).

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Section: Introductionmentioning

confidence: 99%

Joint Localization-based Node Authentication and Secret Key Generation

Srinivasan

Skaperas

Herfeh

et al. 2022

ICC 2022 - IEEE International Conference on Communications

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show abstract

“…The premise of the proposed pre-processing is that largescale fading (path-loss and shadowing) depends heavily on the location and can be helpful for authentication purposes [10]. On the other hand, small-scale fading can constitute an entropy source for SKG with early results presented in [11] and [12].…”

Section: Introductionmentioning

confidence: 99%

Smart Channel State Information Pre-processing for Joint Authentication and Secret Key Distillation

Srinivasan¹,

Skaperas²,

Chorti³

et al. 2022

Preprint

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While the literature on RF fingerprinting-based authentication and key distillation is vast, the two topics have customarily been studied separately. In this paper, starting from the observation that the wireless channel is a composite, deterministic / stochastic process, we propose a power domain decomposition that allows performing the two tasks simultaneously. We devise intelligent pre-processing schemes to decompose channel state information (CSI) observation vectors into "predictable" and "unpredictable" components. The former, primarily due to largescale fading, can be used for node authentication through RF fingerprinting. The latter, primarily due to small-scale fading, could be used for semantically secure secret key generation (SKG). To perform the decomposition, we propose: (i) a fingerprint "separability" criterion, expressed through the maximisation of the total variation distance between the empirical fingerprint measures; (ii) a statistical independence metric for observations collected at different users, expressed through a normalised version of the d-dimensional Hilbert Schmidt independence criterion (dHSIC) test statistic. We propose both explicit implementations, using principal component analysis (PCA) and kernel PCA and black-box, unsupervised learning, using autoencoders. Our experiments on synthetic and real CSI datasets showcase that the incorporation of RF fingerprinting and SKG, with explicit security guarantees, is tangible in future generations of wireless.

show abstract

Section: Introductionmentioning

confidence: 99%

Smart Channel State Information Pre-processing for Joint Authentication and Symmetric Key Distillation

Srinivasan¹,

Skaperas²,

Chorti³

et al. 2022

Preprint

View full text Add to dashboard Cite

While the literature on RF fingerprinting-based authentication and key distillation is vast, the two topics have customarily been studied separately. In this paper, starting from the observation that the wireless channel is a composite, deterministic / stochastic process, we propose a power domain decomposition that allows performing the two tasks simultaneously. We devise intelligent pre-processing schemes to decompose channel state information (CSI) observation vectors into ``predictable'' and ``unpredictable'' components. The former, primarily due to large-scale fading, can be used for node authentication through RF fingerprinting. The latter, primarily due to small-scale fading, could be used for semantically secure secret key generation (SKG). To perform the decomposition, we propose: (i) a fingerprint ``separability'' criterion, expressed through the maximisation of the total variation distance between the empirical fingerprint measures; (ii) a statistical independence metric for observations collected at different users, expressed through a normalised version of the $d$-dimensional Hilbert Schmidt independence criterion (dHSIC) test statistic. We propose both explicit implementations, using principal component analysis (PCA) and kernel PCA and black-box, unsupervised learning, using autoencoders. Our experiments on synthetic and real CSI datasets showcase that the incorporation of RF fingerprinting and SKG, with explicit security guarantees, is tangible in future generations of wireless.

show abstract

Multi-factor Physical Layer Security Authentication in Short Blocklength Communication

Cited by 3 publications

References 48 publications

Joint Localization-based Node Authentication and Secret Key Generation

Joint Localization-based Node Authentication and Secret Key Generation

Smart Channel State Information Pre-processing for Joint Authentication and Secret Key Distillation

Smart Channel State Information Pre-processing for Joint Authentication and Symmetric Key Distillation

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