基于声波的物联网设备高效密钥提取方案

Sound-based Efficient Key Extraction Scheme for IoT Devices

基于声波的密钥协商被证明在无线通信网络中满足物理层安全.但是,在无人工辅助的前提下,基于声波的密钥协商存在难以确保高的比特生成率和低的比特不匹配率等问题.本方案采用A律13折线量化算法,利用窗函数优化量化比特,并结合极化码纠错的信息调和算法,提出基于声波的高效密钥提取方案.在办公环境下,利用物联网设备测试了方案的有效性.实验结果显示,本方案生成的密钥可通过NIST随机性测试,与同类方案相比,本方案比特生成率提高约10%,比特不匹配率降低约80%.

It is proved that in wireless communication network, key negotiation based on acoustic wave achieves physical layer security.However, in the absence of human assistance, key negotiation based on acoustic wave faces some problems.For instance, it is not easy to ensure high bit generation rate and low bit mismatch rate.Thus, this paper adopted A-law 13 broken line quantization algorithm and optimized quantization bits using window functions, together with the polarization code error correction algorithm, and designed an efficient key extraction scheme using ambient acoustic signals.This paper tested the effectiveness of the scheme by using IoT devices in an office environment.The experiment results show that the extracted secret key can pass NIST test suite.Compared with similar schemes, the bit generation rate of our scheme is increased by about 10%, and the bit mismatch rate is reduced by about 80%.