Reciprocity enhancement and decorrelation schemes for PHY-based key generation

Gopinath, Smriti; Guillaume, René; Duplys, Paul; Czylwik, Andreas

doi:10.1109/glocomw.2014.7063624

Cited by 21 publications

(14 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The decorrelation algorithms themselves do not introduce more entropy but only aggregate the energy. In addition, the algorithms' complexities increase with the data block length [48], which may not be applicable to limited computational capacity devices. A rule of thumb for the optimal probing rate is thus attractive as it does not require any other additional signal processing.…”

Section: Performance Evaluationmentioning

confidence: 99%

Efficient Key Generation by Exploiting Randomness From Channel Responses of Individual OFDM Subcarriers

Zhang

Marshall

Woods

et al. 2016

IEEE Trans. Commun.

118

111

View full text Add to dashboard Cite

Section: Performance Evaluationmentioning

confidence: 99%

Efficient Key Generation by Exploiting Randomness From Channel Responses of Individual OFDM Subcarriers

Zhang

Marshall

Woods

et al. 2016

IEEE Trans. Commun.

118

111

View full text Add to dashboard Cite

“…Until now, there has existed unavoidable bit disagreements between Q A and Q B , caused by time delay in TDD systems, hardware differences, and noise [21]. Although some preprocessing approaches, e.g, principal component analysis (PCA) [20], are applied, the bit disagreements are not fully eliminated.…”

Section: Secret Key Generation Processmentioning

confidence: 99%

A Hybrid Information Reconciliation Method for Physical Layer Key Generation

Zhang

et al. 2019

Entropy

View full text Add to dashboard Cite

Physical layer key generation (PKG) has become a research focus as it solves the key distribution problem, which is difficult in traditional cryptographic mechanisms. Information reconciliation is a critical process in PKG to obtain symmetric keys. Various reconciliation schemes have been proposed, including the error detection protocol-based approach (EDPA) and error correction code-based approach (ECCA). Both EDPA and ECCA have advantages and drawbacks, regarding information leakage, interaction delay, and computation complexity. In this paper, we choose the BBBSS protocol from EDPA and BCH code from ECCA as a case study, analyzing their comprehensive efficiency performance versus pass number and bit disagreement ratio (BDR), respectively. Next, we integrate the strength of the two to design a new hybrid information reconciliation protocol (HIRP). The design of HIRP consists of three main phases, i.e., training, table lookup, and testing. To comprehensively evaluate the reconciliation schemes, we propose a novel efficiency metric to achieve a balance of corrected bits, information leakage, time delay, and computation time, which represents the effectively corrected bits per unit time. The simulation results show that our proposed method outperforms other reconciliation schemes to improve the comprehensive reconciliation efficiency. The average improvement in efficiency is 2.48 and 22.36 times over the BBBSS and BCH code, respectively, when the range of the BDR is from 0.5% to 11.5%. Compared to the BBBSS protocol and the BCH code, HIRP lies at a mid-level in terms of information leakage and computation time cost. Besides, with the lowest time delay cost, HIRP reaches the highest reconciliation efficiency. Entropy 2019, 21, 688 2 of 17Recently, physical layer key generation (PKG) has been emerging as a supplement to the upper layer key distribution method [2]. The underlying idea of it lies in the use of channel reciprocity and the uncertainty of multipath characteristics to encrypt the transmitted information in order to solve the problem of symmetric secret key distribution [3,4]. Besides, the spatial variation prevents eavesdroppers from observing the same randomness as legitimate users, for a sufficiently large distance between them.Although the uplink and downlink channels are reciprocal, measurements of radio channels are not the same, due to the differences originating from additive noise, transceiver hardware, and time delay in time division duplex (TDD) systems [5]. However, the objective of PKG is to generate a pair of strict identical symmetric keys. Even one bit of difference would lead to decryption failure due to the avalanche effect. To address this issue, information reconciliation is exploited to detect and correct errors in the preliminary key material between the two communicating parties [6].Several information reconciliation approaches have been proposed in previous work. Generally, these approaches can be classified into two categories, i.e., error detection protocol-based approaches (EDPAs...

show abstract

“…Chen et al [30] proposed an allocation mechanism to improve the SKGR for two-relays based cooperative MIMO architectures. Gopinath et al [31] analyzed various pre-processing techniques for PLS based key generation. The results of [31] showed that utilizing reciprocal properties of physical channel enhances the probability of agreement between the generated keys while de-correlation can mitigate key redundancy.…”

Section: A Related Workmentioning

confidence: 99%

“…Gopinath et al [31] analyzed various pre-processing techniques for PLS based key generation. The results of [31] showed that utilizing reciprocal properties of physical channel enhances the probability of agreement between the generated keys while de-correlation can mitigate key redundancy. Sadeghi et al [32] investigated the impact of in-band full-duplex wireless communications on SKG.…”

Section: A Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Social-Aware Secret Key Generation for Secure Device-to-Device Communication via Trusted and Non-Trusted Relays

Waqas

Ahmed

et al. 2018

IEEE Trans. Wireless Commun.

View full text Add to dashboard Cite

Physical layer security (PLS) is a promising technology in device-to-device (D2D) communications by exploiting reciprocity and randomness of wireless channels, which attracts considerable research attention in the D2D communications community. In this paper, we investigated PLS for secure key generation rate (SKGR) in D2D communications based on cooperative trusted and non-trusted relays. By leveraging social ties, we exploit three social phenomena for secure communications, i.e., trusted scenario (social trust), non-trusted scenario (social reciprocity) and partially trusted scenario (mixed social trust and social reciprocity). The coalition game theory is further utilized to select the optimal relay pairs for improving SKGR. On the basis of social ties, we develop an algorithm for SKGR that protects the keys secret from both eavesdropper and nontrusted selected relays. We incorporate secure relays selection and system wide security for D2D communications. The stability and convergence of the proposed algorithm are also proved in our work. Both numerically and analytically results verify effectiveness and consistency of our proposed scheme, which ensures better SKGR performance in D2D communications.

show abstract

Reciprocity enhancement and decorrelation schemes for PHY-based key generation

Cited by 21 publications

References 14 publications

Efficient Key Generation by Exploiting Randomness From Channel Responses of Individual OFDM Subcarriers

Efficient Key Generation by Exploiting Randomness From Channel Responses of Individual OFDM Subcarriers

A Hybrid Information Reconciliation Method for Physical Layer Key Generation

Social-Aware Secret Key Generation for Secure Device-to-Device Communication via Trusted and Non-Trusted Relays

Contact Info

Product

Resources

About