Moving window scheme for extracting secret keys in stationary environments

Cheng, Longwang; Li, Wei; Ma, Dongtang; Wei, Jibo; Liu, Xu

doi:10.1049/iet-com.2015.1219

Cited by 11 publications

(11 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In fact, due to the complexity of the wireless channel environment, we have inability to predict the CSI of eavesdroppers [29]. Some elementary and solid works aiming at extracting keys from channels were proposed in [30]. This paper mainly focuses on the physical layer encryption technology based on wireless channel characteristics, aiming at encrypting and protecting physical layer information such as physical layer channel coding.…”

Section: Physical Layer Encryption Transmission Technologymentioning

confidence: 99%

Physical Layer Encryption Algorithm Based on Polar Codes and Chaotic Sequences

Lei

et al. 2019

IEEE Access

Self Cite

View full text Add to dashboard Cite

Researches on 5th generation mobile communication networks (5G) are emerging to meet the demands of rapidly developing communications applications. The reliability and security of data have become key factors of its development, and thus 5G has put forward higher requirements for new coding and encryption technologies. In this paper, a physical layer encryption algorithm based on polarization codes and chaotic sequences is proposed to improve the reliability and confidentiality of transmission. In our scheme, chaotic sequences are allocated in the frozen bits of polar codes. Therefore, error correction and encryption can be performed simultaneously. Since the frozen bits are unknown to the eavesdroppers, it is difficult for them to decode the transmitted bits without the knowledge of the chaotic sequences. To further improve the security, we propose to generate the chaotic sequences by using the channel state information. Besides, the chain effects of delayed feedback are applied to increase the decrypted complexity of the eavesdroppers in this paper. Theoretic analysis and simulation results both show that the proposed algorithms can achieve high security without any error rate performance loss. INDEX TERMS Physical layer encryption, polar codes, chaotic sequences, frozen bits.

show abstract

Section: Physical Layer Encryption Transmission Technologymentioning

confidence: 99%

Physical Layer Encryption Algorithm Based on Polar Codes and Chaotic Sequences

Lei

et al. 2019

IEEE Access

Self Cite

View full text Add to dashboard Cite

show abstract

“…In addition, Figure 6 illustrates the secret key capacity of these 2 schemes with fixed variance of each subchannel. 24 In these simulations, The secret key capacity vs SNR for equal and GP-based power allocation schemes with N = 16. GP indicates geometric program; SNR, signal-to-noise ratio FIGURE 5 The secret key capacity of 2 schemes for N = 8, 16, 32 at low SNR region.…”

Section: Numerical and Simulation Resultsmentioning

confidence: 99%

“…In addition, Figure illustrates the secret key capacity of these 2 schemes with fixed variance of each subchannel . In these simulations,

σ_{h}^{2} = [1.1819 1.0935 0.7653 1.2042 2.4845 1.0299 0.3597 0.820]

for the case N = 8,

σ_{h}^{2} = [1.1194 0.6190 0.3706 0.7079 1.0966

0.9597 1.0638 0.2884 0.4019 0.8906 1.4591 0.5037 1.4586 0.8723 1.2445 0.6251] for N = 16 and

σ_{h}^{2} =

[1.1997 0.9788 0.9412 0.7271 1.5351 2.0229 1.3886 1.4335 1.1822 0.9545 0.4923 0.9560 2.5430 0.5750 0.9384 0.3889 1.0682 0.3771 0.9178 0.5328 0.8034 0.4233 0.3446 0.2924 0.4517 0.3455 0.…”

Section: Numerical and Simulation Resultsmentioning

confidence: 99%

Increasing secret key capacity of OFDM systems: a geometric program approach

Cheng

Zhou

et al. 2016

Concurrency and Computation

Self Cite

View full text Add to dashboard Cite

Extracting secret keys from the common randomness of wireless channels has attracted prominent attention recently. Orthogonal frequency-division multiplexing (OFDM) systems can provide extra randomness in view of the use of multiple subchannels. So far, the secret key capacity of OFDM systems is still an open issue. In this paper, the secret key capacity of OFDM systems based on the subchannel state information is analyzed, and an expression of the secret key capacity is derived under the assumption that the subchannels are independent. To increase the secret key capacity, a power allocation scheme based on geometric program is proposed. Furthermore, an underlying propagation protocol is designed to realize the power allocation scheme. Performance simulations show that the proposed scheme achieves greater secret key capacity in comparison with equal power allocation scheme, especially at low signal-to-noise ratio region. Besides, the secret key bits mismatch rate during the secret key generation based on the power allocated subchannels is decreased.

show abstract

“…In addition, the broadcasting nature of the wireless channels causes the wireless communication channel easily to be eavesdropped on or intercepted by an adversary [1,2]. Therefore, the interest in exploiting the characteristics of the wireless channels at the PHYlayer to enhance and complement the conventional security mechanisms is growing, such as the secret key extraction from the characteristics of wireless channels [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19] and PHYlayer authentication [20][21][22][23][24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

“…Since then, many investigators pay attention to extract secret keys from received signal strength (RSS) [6][7][8][9], since the RSS is easy to acquire from the offthe-shelf wireless cards. However, these methods suffer from scalability and low secret key generation rate (KGR) which is defined as the average amount of secret key bits produced in one measurement/second [10][11][12]. To resolve these issues, researchers exploit the channel state information (CSI) to extract secret keys [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Efficient Physical-Layer Secret Key Generation and Authentication Schemes Based on Wireless Channel-Phase

Cheng

Zhou

Seet

et al. 2017

Mobile Information Systems

Self Cite

View full text Add to dashboard Cite

Exploiting the inherent physical properties of wireless channels to complement or enhance the traditional security mechanisms has attracted prominent attention recently. However, the existing secret key generation schemes suffer from miscellaneous extracting procedure. Many PHY-layer authentication schemes assume that the knowledge of the shared key is preknown. In this paper, we propose PHY-layer secret key generation and authentication schemes for orthogonal frequency-division multiplexing (OFDM) systems. In the secret key generation scheme, to simplify the extracting procedure, only one legitimate party is chosen to probe the channel and quantize the measurements to obtain the preliminary key. The preliminary key is masked by the channel-phase after the mapping and before equalization and distributed to the other party. The final shared key is used for the PHY-layer authentication scheme in which random signals and the shared key masked by the channel-phase are exchanged at the PHY-layer. Then, a binary hypothesis test is formulated for authentication. Simulation results show that the proposed secret key generation scheme outperforms the existing schemes. For the PHY-layer authentication scheme, it is immune to various passive and active attacks and a high successful authentication rate is acquired even at low signal-to-noise ratio region.

show abstract

Moving window scheme for extracting secret keys in stationary environments

Cited by 11 publications

References 24 publications

Physical Layer Encryption Algorithm Based on Polar Codes and Chaotic Sequences

Physical Layer Encryption Algorithm Based on Polar Codes and Chaotic Sequences

Increasing secret key capacity of OFDM systems: a geometric program approach

Efficient Physical-Layer Secret Key Generation and Authentication Schemes Based on Wireless Channel-Phase

Contact Info

Product

Resources

About