Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Mobile Information Systems

Scramble-Based Secret Key Generation Algorithm in Physical Layer Security

Dan Wang, Feng Chen, Yongtai Chen, Mingjie Zheng, Jingui Zheng

Published Oct 4, 2022• 1 citation
Publisher

Abstract

As a new way to enhance wireless communication security, secret key generation based on physical layer channel characteristics has emerged. In this paper, we propose a novel secret key generation algorithm based on wireless channel characteristics for orthogonal frequency division multiplexing (OFDM) communication systems. The mean quantization algorithm is applied to quantize the real part and imaginary part of OFDM subcarriers, respectively, which can significantly increase the length of the generated secret key in the OFDM system. To reduce the consistency between the secret keys generated by the eavesdropper and the legitimate communication nodes, a processing method by taking the subcarrier phase as initialization of a scrambling code and scrambling the quantized result is proposed. The simulation and test results show that compared with the existing research, the proposed algorithm can improve the key generation rate (KGR), reduce the key mismatch rate (KMR) and complexity, maintain high randomness, and disturb the eavesdroppers.

DOI
10.1155/2022/8422490

Related papers

New Physical Layer Key Generation Dimensions: Subcarrier Indices/Positions-Based Key Generation

Haji Muhammad Furqan, Jehad M. Hamamreh, Hüseyin Arslan

In this letter, novel algorithms for secret key generation from the wireless channel in multi-carrier systems are proposed for ensuring the confidentiality and authentication in wireless communication systems. The novelty of the proposed algorithms lies in the generation of random secret bits not just from the magnitudes of orthogonal frequency division multiplexing (OFDM) subchannels as it has conventionally been done in the literature, but also from the indices/positions of the subchannels corresponding to highest gains. Thus, the proposed algorithms provide additional dimensions for enhancing overall key rates. The efficiency of the proposed algorithms is evaluated in terms of key mismatch rate (KMR) and key generation rate (KGR). Simulation results showed that the proposed algorithms can enhance the overall performance of physical layer key-based algorithms by providing extra dimensions for secret key generation.

IEEE Communications Letters•Sep 21, 2020•41 citations

A New Scheme for Improving Channel-Based Secret Key Generation Rates

Jehad M. Hamamreh, Haji Muhammad Furqan

Physical layer key generation from the wireless channel is an emerging area of interest to provide confidentiality and authentication. One of the main challenges in this domain is to increase the length of the generated secret key while maintaining its randomness and uniformity. In this letter, new dimensions for wireless channel-based key generation are proposed for orthogonal frequency division multiplexing (OFDM) systems. The novel perspective of the proposed work lies in the generation of key bits not only from the magnitudes of OFDM subchannels as it has conventionally been done but also from the number and positions/indices of those subchannels, whose channel gains are above the mean of the respective subblock. The effectiveness of the proposed algorithms is evaluated in terms of key generation rate and key mismatch rate. It is shown in the simulation results that the involvement of the proposed dimensions can double the key generation rate compared to conventional algorithms.

IEEE Wireless Communications Letters•Sep 6, 2024•3 citations

Subcarrier Number and Indices-Based KeyGeneration for Future Wireless Networks

Haji Muhammad Furqan, Jehad M. Hamamreh, Hüseyin Arslan

Physical layer key generation from the wireless channel is an emerging area of interest to provide confidentiality and authentication. One of the main challenges in this domain is to increase the length of the secret key while maintaining its randomness and uniformity. In this work, new dimensions for wireless channel-based key generation are proposed for orthogonal frequency division multiplexing (OFDM) systems. The novel perspective of the proposed work lies in the generation of key bits not only from the magnitudes of OFDM subchannels as it has conventionally been done but also from the number and positions of those subchannels whose channel gains are above the mean of the respective subblock. The effectiveness of the proposed algorithms is evaluated in terms of key generation rate and key mismatch rate. Additionally, a statistical test suite offered by the National Institute of Standards and Technology is used to evaluate the randomness of the generated key bits. It is shown in the simulation results that the involvement of the proposed dimensions can double the key generation rate compared to conventional algorithms.

arXiv:2109.15091•Sep 30, 2021•0 citations

A Novel Secret Key Generation Method in OFDM System for Physical Layer Security

Dong Wang, Aiqun Hu, Linning Peng

In this paper, a novel physical layer key generation method for extracting secret key from mutual channel information in orthogonal frequency division multiplexing (OFDM) systems has been proposed. Firstly, a well-designed data extraction process has been introduced to reduce the redundancy and inconsistency of channel state information (CSI). After that, a new quantization method using gray code is proposed. Furthermore, an associated method is designed to reduce key error rate (KER). With these improvements, higher key generation rate (KGR) can be obtained compared to existing methods. Finally, available secret keys have been generated after information reconciliation and privacy amplification. The proposed method has been analyzed and verified in long term evolution advanced (LTE-A) systems and the generated secret keys have passed randomness test.

International Journal of Interdisciplinary Telecommunications and Networking•Jan 1, 2016•2 citations

Key Generation Technique Based on Channel Characteristics for MIMO-OFDM Wireless Communication Systems

Dinh Van Linh, Van Yem Vu

Dynamic secret key generation from wireless channel characteristics is a promising technique for physical layer security. One of the important issues in this field is extending the secret key’s length while preserving its uniformity and randomness. This paper proposes a key generation method based on time-varying and the reciprocity of wireless channels for Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) wireless communication systems. In the proposed technique, the complex impulse response (CIR) of the estimated channel state information (CSI) is extracted, and a quantization algorithm is designed to convert the maximum peaks of the CIR into secret key bits. The effectiveness of the proposed key generation technique is assessed in terms of the randomness of the produced key bits with different key lengths by using a statistical test suite of the National Institute of Standards and Technology (NIST). The proposed technique is employed in the MIMO-OFDM systems with different modulation schemes through Additive White Gaussian Noise (AWGN) and Rayleigh channels. The simulation results show that the secret keys with various key lengths generated from the proposed technique for the MIMO-OFDM systems guarantee randomness. Moreover, the proposed CSI-based key generation technique provides better effectiveness in terms of security when compared to some existing techniques.

IEEE Access•Jan 1, 2023•27 citations

NIAKG: A New PHY-SEC Scheme for Doubling Channel-based Secret Key Generation Rates

Jehad M. Hamamreh, Haji Muhammad Furqan

Physical layer key generation from the wireless channel is an emerging area of interest to provide confidentiality and authentication. One of the main challenges in this domain is to increase the length of the secret key while maintaining its randomness and uniformity. In this work, new dimensions for wireless channel-based key generation are proposed for orthogonal frequency division multiplexing (OFDM) systems. The novel perspective of the proposed scheme called NIAKG lies in the generation of key bits not only from the magnitudes of OFDM subchannels as it has conventionally been done but also from the number and positions/indices of those subchannels, whose channel gains are above the mean of the respective subblock. The effectiveness of the proposed algorithms is evaluated in terms of key generation rate and key mismatch rate. It is shown in the simulation results that the involvement of the proposed dimensions can double the key generation rate compared to conventional algorithms.

•Nov 1, 2024•0 citations
As a new way to enhance wireless communication security, secret key generation based on physical layer channel characteristics has emerged. In this paper, we propose a novel secret key generation algorithm based on wireless channel characteristics for orthogonal frequency division multiplexing (OFDM) communication systems. The mean quantization algorithm is applied to quantize the real part and imaginary part of OFDM subcarriers, respectively, which can significantly increase the length of the generated secret key in the OFDM system. To reduce the consistency between the secret keys generated by the eavesdropper and the legitimate communication nodes, a processing method by taking the subcarrier phase as initialization of a scrambling code and scrambling the quantized result is proposed. The simulation and test results show that compared with the existing research, the proposed algorithm can improve the key generation rate (KGR), reduce the key mismatch rate (KMR) and complexity, maintain high randomness, and disturb the eavesdroppers.
In this letter, novel algorithms for secret key generation from the wireless channel in multi-carrier systems are proposed for ensuring the confidentiality and authentication in wireless communication systems. The novelty of the proposed algorithms lies in the generation of random secret bits not just from the magnitudes of orthogonal frequency division multiplexing (OFDM) subchannels as it has conventionally been done in the literature, but also from the indices/positions of the subchannels corresponding to highest gains. Thus, the proposed algorithms provide additional dimensions for enhancing overall key rates. The efficiency of the proposed algorithms is evaluated in terms of key mismatch rate (KMR) and key generation rate (KGR). Simulation results showed that the proposed algorithms can enhance the overall performance of physical layer key-based algorithms by providing extra dimensions for secret key generation.
Physical layer key generation from the wireless channel is an emerging area of interest to provide confidentiality and authentication. One of the main challenges in this domain is to increase the length of the generated secret key while maintaining its randomness and uniformity. In this letter, new dimensions for wireless channel-based key generation are proposed for orthogonal frequency division multiplexing (OFDM) systems. The novel perspective of the proposed work lies in the generation of key bits not only from the magnitudes of OFDM subchannels as it has conventionally been done but also from the number and positions/indices of those subchannels, whose channel gains are above the mean of the respective subblock. The effectiveness of the proposed algorithms is evaluated in terms of key generation rate and key mismatch rate. It is shown in the simulation results that the involvement of the proposed dimensions can double the key generation rate compared to conventional algorithms.
Physical layer key generation from the wireless channel is an emerging area of interest to provide confidentiality and authentication. One of the main challenges in this domain is to increase the length of the secret key while maintaining its randomness and uniformity. In this work, new dimensions for wireless channel-based key generation are proposed for orthogonal frequency division multiplexing (OFDM) systems. The novel perspective of the proposed work lies in the generation of key bits not only from the magnitudes of OFDM subchannels as it has conventionally been done but also from the number and positions of those subchannels whose channel gains are above the mean of the respective subblock. The effectiveness of the proposed algorithms is evaluated in terms of key generation rate and key mismatch rate. Additionally, a statistical test suite offered by the National Institute of Standards and Technology is used to evaluate the randomness of the generated key bits. It is shown in the simulation results that the involvement of the proposed dimensions can double the key generation rate compared to conventional algorithms.
In this paper, a novel physical layer key generation method for extracting secret key from mutual channel information in orthogonal frequency division multiplexing (OFDM) systems has been proposed. Firstly, a well-designed data extraction process has been introduced to reduce the redundancy and inconsistency of channel state information (CSI). After that, a new quantization method using gray code is proposed. Furthermore, an associated method is designed to reduce key error rate (KER). With these improvements, higher key generation rate (KGR) can be obtained compared to existing methods. Finally, available secret keys have been generated after information reconciliation and privacy amplification. The proposed method has been analyzed and verified in long term evolution advanced (LTE-A) systems and the generated secret keys have passed randomness test.
Dynamic secret key generation from wireless channel characteristics is a promising technique for physical layer security. One of the important issues in this field is extending the secret key’s length while preserving its uniformity and randomness. This paper proposes a key generation method based on time-varying and the reciprocity of wireless channels for Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) wireless communication systems. In the proposed technique, the complex impulse response (CIR) of the estimated channel state information (CSI) is extracted, and a quantization algorithm is designed to convert the maximum peaks of the CIR into secret key bits. The effectiveness of the proposed key generation technique is assessed in terms of the randomness of the produced key bits with different key lengths by using a statistical test suite of the National Institute of Standards and Technology (NIST). The proposed technique is employed in the MIMO-OFDM systems with different modulation schemes through Additive White Gaussian Noise (AWGN) and Rayleigh channels. The simulation results show that the secret keys with various key lengths generated from the proposed technique for the MIMO-OFDM systems guarantee randomness. Moreover, the proposed CSI-based key generation technique provides better effectiveness in terms of security when compared to some existing techniques.
Physical layer key generation from the wireless channel is an emerging area of interest to provide confidentiality and authentication. One of the main challenges in this domain is to increase the length of the secret key while maintaining its randomness and uniformity. In this work, new dimensions for wireless channel-based key generation are proposed for orthogonal frequency division multiplexing (OFDM) systems. The novel perspective of the proposed scheme called NIAKG lies in the generation of key bits not only from the magnitudes of OFDM subchannels as it has conventionally been done but also from the number and positions/indices of those subchannels, whose channel gains are above the mean of the respective subblock. The effectiveness of the proposed algorithms is evaluated in terms of key generation rate and key mismatch rate. It is shown in the simulation results that the involvement of the proposed dimensions can double the key generation rate compared to conventional algorithms.