A Lightweight Key Generation Scheme for the Internet of Things

Guo, Dengke; Cao, Kuo; Xiong, Jun; Ma, Dongtang; Zhao, Haitao

doi:10.1109/jiot.2021.3060438

Cited by 26 publications

(10 citation statements)

References 34 publications

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“…more than one half-wavelength away from legitimate users will experience uncorrelated fading. This spatial decorrelation assumption guarantees the security of the generated key, which is claimed in most related papers [2]- [6].…”

Section: Introductionmentioning

confidence: 77%

“…These schemes require key distribution by a secure management center and may become ineffective in the future due to the rapidly growing computational capacity. In contrast, physical layer security (PLS) can achieve information-theoretical security without aid from other users or infrastructures [2]. Thus, it has attracted increasing attention from the security community.…”

Section: Introductionmentioning

confidence: 99%

“…In contrast, existing studies in this direction usually only consider single-antenna [1], [3], [5], [9], [11], [17] or HD systems [4], [5], [15], [18] or lack practical implementation [3], [11], [17] and imperfection considerations [1], [4], [7], [18]. In addition, most of the existing studies consider the spatial independence assumption [2]- [6], ignoring the effects of a possible close eavesdropper who can acquire a correlated channel. In this paper, we formulate the intrinsic practical imperfections via measurable metrics and derive the SKC in the presence of a passive eavesdropper who can be located anywhere, giving a deep insight into the limits of the SKC.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Channel Frequency Response-Based Secret Key Generation Scheme in In-Band Full-Duplex MIMO-OFDM Systems

Luo

Garg

Ratnarajah

2023

IEEE J. Select. Areas Commun.

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Physical layer-based secret key generation (PHY-SKG) schemes have attracted significant attention in recent years due to their lightweight implementation and ability to achieve information-theoretical security. In this paper, we study a channel frequency response (CFR)-based SKG scheme for in-band fullduplex (IBFD)-multi-input and multi-output (MIMO) systems. We formulate the intrinsic practical imperfections and derive their effects on the probing errors. Then we derive closed-form expressions for the secret key capacity (SKC) in the presence of a passive eavesdropper accordingly. We analyze the asymptotic behavior of the SKC in the high-SNR regime and reveal the fundamental limits for IBFD and HD probing. Based on the asymptotic SKC, we investigate the conditions under which IBFD can outperform HD. Numerical results illustrate that effective analog self-interference cancellation (ASIC) depth is the basis for IBFD probing to gain benefits over HD. Finally, we analyze the properties of the collected samples of the CFR-based SKG scheme and propose an averaging pre-processing and a segmental quantization, which reduce the key disagreement rate and remove the effects of large-scale fading to guarantee randomness. 3GPP specification-based simulations and the National Institute of Standards and Technology (NIST) test suite verify the theoretical analysis and the effectiveness of the proposed SKG scheme.

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Section: Introductionmentioning

confidence: 77%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Channel Frequency Response-Based Secret Key Generation Scheme in In-Band Full-Duplex MIMO-OFDM Systems

Luo

Garg

Ratnarajah

2023

IEEE J. Select. Areas Commun.

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“…The HRUBE technique, which is used to design systems with a defined constraint on the possibility of bit discrepancy, includes an analysis to quantify the probability of bit disagreement. To increase the reciprocity of channel parameters, Dengke Guo [14] presented a simple key generation approach that includes a moving average filtering (MAF) pre-processing phase prior to quantization. In this study, Kalyani et al [15] employ cryptographicbased ways to improve IoT security authentication.…”

Section: Related Workmentioning

confidence: 99%

Physical Key Generation Using Modified Discrete Wavelet Transforms For The Internet of Things

Sharma,

Jindal,

Singh

2024

IJCDS

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Security and privacy of data are important factors in the Internet of Things (IoT), which enables safe communication with emerging objects. The non-standardization of security protocols on the internet of things makes them vulnerable to intruders and compromises the process of communication. Conventional cryptography approaches face certain limitations in the generation of keys for authentication and authorization of communication systems. The limitations of the cryptography approach are explored in terms of computational overhead and hardware requirements. Singal processing is an alternative cryptography approach for key generation in physical-layer wireless communication systems. The wireless channel's reciprocity principle is used to generate keys. The important factor in signal-based key generation is the process of quantization. In this manuscript, we propose modified discrete wavelet transform (DWT) methods for key generation in IoT. The modification of discrete wavelet transform methods encapsulates the process of common spatial patterning (CSP). The CSP is another signal processing method for the formation of signal patterns. The proposed method reduces DWT discrepancies and yields a key generation technique that is efficient. Key generation processing used multi-bit quantization to quantify the product of the modified discrete wavelet transform. The proposed algorithm for key generation simulates different numbers of device nodes in indoor and outdoor scenarios. Use MATLAB tools to simulate the process and measure standard parameters such as AKL and KDR. According to the results, the suggested technique outperforms existing key generation algorithms by 3%.

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“…The extraction of the physical layer channel response is performed by the legitimate receiver. According to the wireless channel model [ 35 , 36 ], the expression of the received signal can be written as

where t is the time slot, h denotes the channel impulse response, x is a pilot signal known to the transmitter and receiver for estimating channel information, and n ( t ) is the additive white Gaussian noise with variance

. The corresponding frequency-domain representation obtained through Fourier transform is

where Y , H , X , and N represents y , h , x and n , respectively, in frequency domain.…”

Section: System Modelmentioning

confidence: 99%

Channel Prediction-Based Security Authentication for Artificial Intelligence of Things

Qiu

Zhuang

et al. 2023

Sensors

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The emerging physical-layer unclonable attribute-aided authentication (PLUA) schemes are capable of outperforming traditional isolated approaches, with the advantage of having reliable fingerprints. However, conventional PLUA methods face new challenges in artificial intelligence of things (AIoT) applications owing to their limited flexibility. These challenges arise from the distributed nature of AIoT devices and the involved information, as well as the requirement for short end-to-end latency. To address these challenges, we propose a security authentication scheme that utilizes intelligent prediction mechanisms to detect spoofing attack. Our approach is based on a dynamic authentication method using long short term memory (LSTM), where the edge computing node observes and predicts the time-varying channel information of access devices to detect clone nodes. Additionally, we introduce a Savitzky–Golay filter-assisted high order cumulant feature extraction model (SGF-HOCM) for preprocessing channel information. By utilizing future channel attributes instead of relying solely on previous channel information, our proposed approach enables authentication decisions. We have conducted extensive experiments in actual industrial environments to validate our prediction-based security strategy, which has achieved an accuracy of 97%.

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A Lightweight Key Generation Scheme for the Internet of Things

Cited by 26 publications

References 34 publications

A Channel Frequency Response-Based Secret Key Generation Scheme in In-Band Full-Duplex MIMO-OFDM Systems

A Channel Frequency Response-Based Secret Key Generation Scheme in In-Band Full-Duplex MIMO-OFDM Systems

Physical Key Generation Using Modified Discrete Wavelet Transforms For The Internet of Things

Channel Prediction-Based Security Authentication for Artificial Intelligence of Things

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