Secure key management for 5G physical layer security

Mazin, Asim; Davaslıoğlu, Kemal; Gitlin, Richard D.

doi:10.1109/wamicon.2017.7930246

Cited by 17 publications

(8 citation statements)

References 14 publications

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“…Eve demodulates r ae (t) and r be (t), and can only obtain random sequence Y e = X a ⊕ X b ⊕ H ae ⊕ H be ⊕ N ae ⊕ N be (9) where H ae = [h ae (1), h ae (2), . .…”

Section: Analysis and Simulation Resultsmentioning

confidence: 99%

“…. , h ae (n)] ∈ (0, 1) n denotes errors that the wireless channel causes to the random sequence X a during demodulating r ae (t); H be = [h be (1), h be (2), . .…”

Section: Analysis and Simulation Resultsmentioning

confidence: 99%

“…It remains a challenge especially in next generation wireless networks, such as 5G wireless network where a fixed key management infrastructure is not available. The process of key management (key generation and secure key exchange) becomes even more challenging for 5G wireless network because the number of nodes increases to a massive scale and nodes become more heterogeneous in their computational capabilities [1]. The traditional approach to this problem is to use public key cryptographies.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Practical Secret Key Generation Scheme Based on Wireless Channel Characteristics for 5G Networks

Wang

Kang

et al. 2020

IEICE Trans. Inf. & Syst.

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Secret key generation based on channel characteristics is an effective physical-layer security method for 5G wireless networks. The issues of how to ensure the high key generation rate and correlation of the secret key under active attack are needed to be addressed. In this paper, a new practical secret key generation scheme with high rate and correlation is proposed. In our proposed scheme, Alice and Bob transmit independent random sequences instead of known training sequences or probing signals; neither Alice nor Bob can decode these random sequences or estimate the channel. User's random sequences together with the channel effects are used as common random source to generate the secret key. With this solution, legitimate users are able to share secret keys with sufficient length and high security under active attack. We evaluate the proposed scheme through both analytic and simulation studies. The results show that our proposed scheme achieves high key generation rate and key security, and is suitable for 5G wireless networks with resource-constrained devices.

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“…Eve demodulates r ae (t) and r be (t), and can only obtain random sequence Y e = X a ⊕ X b ⊕ H ae ⊕ H be ⊕ N ae ⊕ N be (9) where H ae = [h ae (1), h ae (2), . .…”

Section: Analysis and Simulation Resultsmentioning

confidence: 99%

“…. , h ae (n)] ∈ (0, 1) n denotes errors that the wireless channel causes to the random sequence X a during demodulating r ae (t); H be = [h be (1), h be (2), . .…”

Section: Analysis and Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Practical Secret Key Generation Scheme Based on Wireless Channel Characteristics for 5G Networks

Wang

Kang

et al. 2020

IEICE Trans. Inf. & Syst.

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“…There is also a corresponding study of the scheme of adding artificial noise (AN) to the SISO, but the SISO channel has no extra freedom to provide. [14][15][16] At this point, when the channels of Alice-Bob and Alice-Eve are both exact SISO channels, the channel capacity of the secure transmission has been comprehensively studied and shows that only when the Alice-Bob channel is stronger than the Alice-Eve channel to obtain a positive safe transfer rate. Furthermore, it is found that the use of reasonable power distribution, combined with opportunistic communication and AN design, can make the channel gain of Alice-Bob channel to be less than the average channel gain difference of Alice-Eve channel.…”

Section: Related Workmentioning

confidence: 99%

A novel joint optimization of downlink transmission using physical layer security in cooperative 5G wireless networks

Chen

Bai

et al. 2017

International Journal of Distributed Sensor Networks

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Privacy and perspective are attracting more and more attention from worldwide users, so security in wireless communication system has become popular in recent researches, especially the physical layer security in 5G systems. In this article, we discuss the physical layer security in 5G downlink transmission systems; we propose the joint optimization of subcarrier, power, and artificial noise to achieve the higher security rate, our proposed method could approach to the upper bound of the security rate rather than the other methods, respectively. Then, in the simulation part, we present the theoretical and system-level simulation, and the results indicate that our proposed method could effectively increase the security rate without losing the system transmission speed.

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“…Therefore, the conventional secrecy techniques that assume any limitations on the adversary side are inappropriate to achieve a secure information transmission. Recently, researchers have demonstrated a significant interest in the physical layer security (PLS) to give an additional layer of security [11][12][13][14]. Physical layer security is defined as the study of different techniques for improving the security of networks by exploiting the wireless channel characteristics.…”

Section: Introductionmentioning

confidence: 99%

Achievable secrecy rate analysis in mmWave ad hoc networks with multi‐array antenna transmission and artificial noise

Darwesh

Fapojuwo

2021

IET Communications

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This paper analyzes the achievable secrecy rate in a millimeter wave (mmWave) ad hoc network with multi-array antenna transmission in the presence of non-colluding and colluding eavesdroppers. By exploiting the tools of stochastic geometry, the average achievable secrecy rate is derived, taking into consideration the impact of blockages, directional beamforming, and Nakagami-m fading. Moreover, a simple yet effective artificial noise transmission (Tx-AN) technique is applied at the transmitting nodes to enhance the secrecy performance while the channel state information at the desired transmitter is unknown. Numerical and simulation results are presented for the average achievable secrecy rate in the mmWave ad hoc network without and with the Tx-AN technique. For example, at the high transmit power (> 20 dBm), the average achievable secrecy rate with the Tx-AN technique is up to three times higher than that obtained when the Tx-AN technique is not used. Furthermore, the results demonstrate the secrecy robustness of the Tx-AN technique against increasing eavesdroppers' intensity. Finally, the proper power allocation between the message and AN signals that maximizes the average achievable secrecy rate is computed.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Secure key management for 5G physical layer security

Cited by 17 publications

References 14 publications

A Practical Secret Key Generation Scheme Based on Wireless Channel Characteristics for 5G Networks

A Practical Secret Key Generation Scheme Based on Wireless Channel Characteristics for 5G Networks

A novel joint optimization of downlink transmission using physical layer security in cooperative 5G wireless networks

Achievable secrecy rate analysis in mmWave ad hoc networks with multi‐array antenna transmission and artificial noise

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