RSS-based Secret Key Establishment using Middle-Point Quantization and Clover Filter Algorithm

Choirun Nisa, Amang Sudarsono, Mike Yuliana
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引用次数: 1

Abstract

In recent years, the Internet of Things (IoT) becomes popular technology. The one aspect that makes important concern in IoT is the confidentiality of communications. For securing communication in IoT, cryptography algorithm such as symmetrical cryptography requires the secret key exchange process in a public wireless network to ensure the sameness of the secret key. However, the exchange of secret keys in the public wireless network can be exploited by adversaries. So, we present the secret key generation scheme that generates a shared random key through observation of the communication channel parameter i.e. Receive Signal Strength (RSS) between two devices that no need to exchange the secret key. We use Middle-Point quantization to convert the RSS into bit sequences and use Clover Filter to eliminate the error bits after the quantization process. Measurement results showed that the proposed scheme improves the performance of existing schemes if the interval used is 25. The proposed scheme improves the KGR 24 times and improves efficiency to 63%. While for KDR, the proposed scheme can decrease the KDR value of 67.9%. Also, in all scenarios, the proposed scheme can pass the NIST randomness test.
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基于中点量化和三叶草滤波算法的rss密钥建立
近年来,物联网(IoT)成为流行的技术。在物联网中引起重要关注的一个方面是通信的保密性。为了保证物联网中的通信安全,对称加密等加密算法需要在公共无线网络中进行密钥交换过程,以保证密钥的一致性。然而,在公共无线网络中的密钥交换可以被攻击者利用。因此,我们提出了一种密钥生成方案,该方案通过观察两个设备之间的通信通道参数即接收信号强度(RSS)来生成共享随机密钥,而不需要交换密钥。我们使用中间点量化将RSS转换成位序列,并使用三叶草滤波器消除量化后的错误位。测试结果表明,当使用的间隔为25时,所提方案的性能优于现有方案。该方案将KGR提高了24倍,效率提高到63%。对于KDR,该方案可使KDR值降低67.9%。在所有场景下,该方案均能通过NIST随机性测试。
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