姚念民

个人信息Personal Information

教授

博士生导师

硕士生导师

任职 : 智能计算教研室主任

性别:男

毕业院校:吉林大学

学位:博士

所在单位:计算机科学与技术学院

学科:计算机应用技术. 计算机软件与理论

办公地点:创新园大厦A820

联系方式:13304609362

电子邮箱:lucos@dlut.edu.cn

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On the using of discrete wavelet transform for physical layer key generation

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论文类型:期刊论文

发表时间:2017-09-01

发表刊物:AD HOC NETWORKS

收录刊物:Scopus、SCIE、EI

卷号:64

页面范围:22-31

ISSN号:1570-8705

关键字:Key generation; Wireless channel reciprocity; Discrete wavelet transform; Gray code

摘要:For key generation between wireless transceivers, key generation leveraging channel reciprocity is a promising alternative to public key cryptography. Several existing schemes have validated its feasibility in real environments. However, in some scenarios, channel measurements collected by the involved transceivers are highly correlated but not identical, i.e., measurement sequences of these transceivers have too many discrepancies, which makes it difficult to extract the shared key from these measurements. In this paper, we propose a scheme to achieve secret key generation from wireless channels. During the proposed scheme, to reduce the amount of the referred discrepancies and further achieve efficient key generation, the involved transceivers separately apply a compressor based on the discrete wavelet transform (DWT) to pre-process their measurements. Then, multi-level quantization is implemented to quantify the output of DWT-based compressor. An encoding scheme based on gray code is employed to establish bit sequence and ensure that the resulting bit mismatch rate can be further reduced so that efficient information reconciliation can be implemented. Accordingly, the shared key between these transceivers can be derived after information reconciliation. Finally, 2-universal hash functions are used to guarantee the randomness of the shared secret key. Several experiments in real environments are conducted to validate the proposed scheme. The results demonstrate that the proposed scheme is available to generate shared secret keys between transceivers even though their measurement sequences have too many discrepancies. (C) 2017 Elsevier B.V. All rights reserved.