Random Shifting Intelligent Reflecting Surface for OTP Encrypted Data Transmission

Ji, Zijie; Yeoh, Phee Lep; Chen, Gaojie; Pan, Cunhua; Zhang, Yan; He, Zhiyuan; Yin, Hao; Li, Yonghui

doi:10.1109/lwc.2021.3061549

Cited by 46 publications

(28 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To address the static channel scenarios, recent advances on intelligent reflecting surface (IRS) have been regarded as a promising technologies to generate randomness and dynamics of fading via its phase controller [35]- [38]. To be specific, by randomly selected an IRS phase and remains in each coherent time, the spatial & temporal -correlated randomness of legitimate channels can be created and exploited for SKG.…”

Section: A Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Random Matrix based Physical Layer Secret Key Generation in Static Channels

Wei¹,

Guo²

2021

Preprint

View full text Add to dashboard Cite

Physical layer secret key generation exploits the reciprocal channel randomness for key generation and has proven to be an effective addition security layer in wireless communications. However, static or scarcely random channels require artificially induced dynamics to improve the secrecy performance, e.g., using intelligent reflecting surface (IRS). One key challenge is that the induced random phase from IRS is also reflected in the direction to eavesdroppers (Eve). This leakage enables Eve nodes to estimate the legitimate channels and secret key via a globally known pilot sequence. To mitigate the secret key leakage issue, we propose to exploit random matrix theory to inform the design of a new physical layer secret key generation (PL-SKG) algorithm. We prove that, when sending appropriate random Gaussian matrices, the singular values of Alice's and Bob's received signals follow a similar probability distribution. Leveraging these common singular values, we propose a random Gaussian matrix based PL-SKG (RGM PL-SKG), which avoids the usages of the globally known pilot and thereby prevents the aforementioned leakage issue. Our results show the following: (i) high noise resistance which leads to superior secret key rate (SKR) improvement (up to 300%) in low SNR regime, and (ii) general improved SKR performance against multiple colluded Eves. We believe our combination of random matrix theory and PL-SKG shows a new paradigm to secure the wireless communication channels.

show abstract

Section: A Literature Reviewmentioning

confidence: 99%

“…1(a). Different from the key-less PLS that uses IRS to enhance the legitimate channels over wiretap ones [16], [40]- [42], the IRS here is to generate randomness by randomly shifting its phase controller, for secret key generations between legitimate nodes [35]- [38].…”

Section: System Model and Problem Formulation A Irs-assisted Communic...mentioning

confidence: 99%

Random Matrix based Physical Layer Secret Key Generation in Static Channels

Wei¹,

Guo²

2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Based on the above features, little existing literature has studied RIS-assisted PKG. Ji et al [3] randomly change the phase of RIS to introduce artificial randomness and increase the key generation rate (KGR). In their other work [4], RIS reflecting coefficients are optimized to maximize the lower bound of secret key rate in multiple eavesdroppers scenario.…”

Section: Introductionmentioning

confidence: 99%

On the RIS Manipulating Attack and Its Countermeasures in Physical-layer Key Generation

Hu¹,

Li²,

Luo³

et al. 2021

Preprint

View full text Add to dashboard Cite

Reconfigurable Intelligent Surface (RIS) is a new paradigm that enables the reconfiguration of the wireless environment. Based on this feature, RIS can be employed to facilitate Physical-layer Key Generation (PKG). However, this technique could also be exploited by the attacker to destroy the key generation process via manipulating the channel features at the legitimate user side. Specifically, this paper proposes a new RISassisted Manipulating attack (RISM) that reduces the wireless channel reciprocity by rapidly changing the RIS reflection coefficient in the uplink and downlink channel probing step in orthogonal frequency division multiplexing (OFDM) systems. The vulnerability of traditional key generation technology based on channel frequency response (CFR) under this attack is analyzed. Then, we propose a slewing rate detection method based on path separation. The attacked path is removed from the time domain and a flexible quantization method is employed to maximize the Key Generation Rate (KGR). The simulation results show that under RISM attack, when the ratio of the attack path variance to the total path variance is 0.17, the Bit Disagreement Rate (BDR) of the CFR-based method is greater than 0.25, and the KGR is close to zero. In addition, the proposed detection method can successfully detect the attacked path for SNR above 0 dB in the case of 16 rounds of probing and the KGR is 35 bits/channel use at 23.04MHz bandwidth.

show abstract

mentioning

confidence: 99%

“…In view of these characteristics, a few literatures have applied IRS in PKG [3][4][5]. In [4], Z. Ji et al proposed an onetime pad encrypted data transmission scheme based on random phase shifting of the IRS elements. In [3], X. Lu et al effectively adjusted the switch state of IRS units to maximize the secret key rate in single-input single-putput (SISO) network.…”

mentioning

confidence: 99%

Intelligent Reflecting Surface-Assisted Secret Key Generation In Multi-antenna Network

Chen¹,

Li²,

Pan³

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

Physical-layer key generation (PKG) can generate symmetric keys between two communication ends based on the reciprocal uplink and downlink channels. By smartly reconfiguring the radio signal propagation, intelligent reflecting surface (IRS) is able to improve the secret key rate of PKG. However, existing works involving IRS-assisted PKG are concentrated in single-antenna wireless networks. So this paper investigates the problem of PKG in the IRS-assisted multiple-input single-output (MISO) system, which aims to maximize the secret key rate by optimally designing the IRS passive beamforming. First, we analyze the correlation between channel state information (CSI) of eavesdropper and legitimate ends and derive the expression of the upper bound of secret key rate under passive eavesdropping attack. Then, an optimal algorithm for designing IRS reflecting coefficients based on Semi-Definite Relaxation (SDR) and Taylor expansion is proposed to maximize the secret key rate. Numerical results show that our optimal IRS-assisted PKG scheme can achieve much higher secret key rate when compared with two benchmark schemes.

show abstract

Random Shifting Intelligent Reflecting Surface for OTP Encrypted Data Transmission

Cited by 46 publications

References 15 publications

Random Matrix based Physical Layer Secret Key Generation in Static Channels

Random Matrix based Physical Layer Secret Key Generation in Static Channels

On the RIS Manipulating Attack and Its Countermeasures in Physical-layer Key Generation

Intelligent Reflecting Surface-Assisted Secret Key Generation In Multi-antenna Network

Contact Info

Product

Resources

About