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International Conference on Systems and Informatics (ICSAI)

Improved Mult-bit Adaptive Quantization algorithm for Physical Layer Security based on Channel Charscteristics

You Wu, Haifei Xia, Chen Cheng

Published Nov 1, 2018• 2 citations
Publisher

Abstract

Wireless channel has many characteristics such as reciprocity, time variation, spatial uniqueness, etc. This paper extracted secret key from its noisy radio channel measurements at two nodes by exploiting the reciprocity of wireless channel in time division system. Therefore, the secret key could be generated with the channel estimation to overcome the drawback of the key pre-distribution mechanism. Aiming at solving the problem that the multibit adaptive quantization scheme to achieve low key generation consistency probability, the paper proposes m-windows filtering mechanism to preprocess channel eigenvalues. The simulation results show that the improved algorithm achieves higher key agreement rate and key generation rate, especially when the signal to noise ratio is low, reduce the key inconsistency rate particularly noticeable.

DOI
10.1109/icsai.2018.8599367

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Wireless channel has many characteristics such as reciprocity, time variation, spatial uniqueness, etc. This paper extracted secret key from its noisy radio channel measurements at two nodes by exploiting the reciprocity of wireless channel in time division system. Therefore, the secret key could be generated with the channel estimation to overcome the drawback of the key pre-distribution mechanism. Aiming at solving the problem that the multibit adaptive quantization scheme to achieve low key generation consistency probability, the paper proposes m-windows filtering mechanism to preprocess channel eigenvalues. The simulation results show that the improved algorithm achieves higher key agreement rate and key generation rate, especially when the signal to noise ratio is low, reduce the key inconsistency rate particularly noticeable.
As an alternative and appealing approach to providing information security in wireless communication systems, secret key generation at physical layer has demonstrated its potential in terms of efficiency and reliability over traditional cryptographic methods. Without the necessity of a management centre for key distribution or reliance on computational complexity, physical layer key generation protocols enable two wireless entities to extract identical and dynamic keys from the randomness of the wireless channels associated with them.\nIn this thesis, the reliability of secret key generation at the physical layer is examined in practical wireless channels with imperfect channel state information (CSI). Theoretical analyses are provided to relate key match rate with channel's signal-to-noise ratio (SNR), degrees of channel reciprocity, and iterations of information reconciliation.\nIn order to increase key match rate of physical layer secret key generation, improved schemes in the steps of channel estimation and sample quantization are proposed respectively. In the channel estimation step, multiple observations of the wireless channels are integrated with a linear processor to provide a synthesized and more accurate estimation of the wireless channel. In the sample quantization step, a magnitude based quantization method with two thresholds is proposed to quantize partial samples, where specific quantization areas are selected to reduce cross-over errors. Significant improvements in key match rate are proven for both schemes in theoretical analysis and numerical simulations. Key match rate can even achieve 100% in both schemes with the assistance of information reconciliation process.\nIn the end, a practical application of physical layer secret key generation is presented, where dynamic keys extracted from the wireless channels are utilized for securing secret data transmission and providing efficient access control.
Due to the reciprocity of wireless channels, the communication parties can directly extract the shared key from channel. This solution were verified through several schemes. However, in real situations, channel sampling of legitimate transceivers might be impacted by noises and other interferences, which makes the channel states obtained by initiator and responder might be obvious different. The efficiency and even availability of physical layer key generation are thus reduced. In this paper, we propose a lightweight and efficient physical layer key generation scheme, which extract shared secret keys from channel state information (CSI). To improve the key generation process, the discrete cosine transform (DCT) is employed to reduce differences of channel states of legitimate transceivers. Then, these outputs are quantified and encoded through multi-bit adaptive quantization(MAQ) quantizer and gray code to generate binary bit sequence, which can greatly reduce the bit error rate. Moreover, the low density parity check (LDPC) code and universal hashing functions are used to achieve information reconciliation and privacy amplifification. By adding preprocessing methods in the key generation process and using the rich information of CSI, the security of communications can be increased on the basis of improving the key generation rate. To evaluate this scheme, a number of experiments in various real environments are conducted. The experimental results show that the proposed scheme can effificiently generate shared secret keys for nodes and protect their communication.
At present, wireless communication technology greatly improves the transmission data rate, but at the same time, it also has higher and higher requirements for the realization of secure communication. From the perspective of information theory, the physical layer key system provides a new way to solve the problem of secure communication in wireless communication system. The uplink and downlink wireless channels with natural reciprocity are used as random sources to generate shared key. Firstly, this paper introduces the steps of a key distribution protocol with multi-level quantization based on the characteristics of wireless channel CSI. Secondly, the security of this kind of key distribution protocol is analyzed by the key generation rate and other evaluation metrics. Furthermore, it is verified by simulation in the typical channel model scenario of 4G communication mode. The simulation results show that the key distribution protocol based on the characteristics of wireless channel can achieve a key generation rate of 5 bits/resource block under the condition of high signal-to-noise ratio (such as 20dB) in the current communication network circumstance, and the generated key sequence has sufficient randomness, so as to achieve effective secure communication.
The Secret Key Generation (SKG) scheme that exploits the reciprocity and uniqueness of wireless channel between two users plays a significant part in a new increasing distributed security system. The scheme performance can be distinguished based on the low value of Key disagreement Rate (KDR), the high value of Key Generation Rate (KGR), as well as the fulfillment of the NIST randomness standard. The previous SKG scheme has a high KDR due to a direct quantization of a measurement result of the Received Signal Strength (RSS). To overcome the above issue, we conduct a pre-processing of measurement result before quantization with the Kalman method. The pre-process is carried out to improve the channel reciprocity between two legitimate users with the objective to reduce the bit mismatch. Through an experiment, we propose a new quantization scheme called a Modified Multi-Bit (MMB) that uses a multi-bit system on every level of quantization. The test results show that the proposed combination of preprocessing and the MMB scheme has a better performance compared to the existing schemes in terms of KDR and KGR. The Secret Key generated by our scheme also fulfills the NIST randomness standard.
Channel characteristics-based secret key generation is an effective physical-layer security method.The issues of how to remove the effect of random noise and to balance the key generation rate (KGR) and the bit mismatch rate (BMR) are needed to be addressed.In this paper, to reduce the effect of random noise and extract more secret bits, a new quantization scheme with high key generation rate and low bit mismatch rate is proposed.In our proposed scheme, we try to use all measurements and correct the differences caused by noise at the boundary regions instead of simply dropping them.We evaluate and discuss the improvements of our proposed scheme.The results show that our proposed scheme achieves lower bit mismatch rate as well as remaining high key generation rate.
New approaches that generate secret keys from radio channel characteristics have been recently proposed. The security of these schemes usually relies on the reciprocity principle which states that the channel fluctuations can be a source of common randomness for two communicating peers and these fluctuations can't be measured by any eavesdropper. A validation of these properties for indoor environments is presented in this work. The shared keys are created by measuring the reciprocal channel features and converting this information to binary vectors using a quantization algorithm. This paper addresses the problem of quantization. It identifies an important weakness of existing key generation algorithms and it shows that the secret bits extraction has a significant impact on the robustness and security of these algorithms. A new adaptive quantization algorithm for secret key generation is presented. This method has the advantages to create sufficient long secret keys with a high key agreement ratio between authorized users without revealing information to the attacker. The new scheme is experimentally validated using Ultra Wide Band technology.