基于改进量化日志的车载Ad-Hoc网络密钥建立

M. C. Kriswantoro, Amang Sudarsono, Mike Yuliana
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引用次数: 0

摘要

传统的密码学方法,如对称密码学和非对称密码学,通常用于解决网络安全问题。密钥生成(SKG)系统具有从无线信道物理层信息中提取密钥的优点。它允许传输范围内的两个无线设备在不使用固定密钥分发基础设施的情况下提取共享对称密钥,从而允许车辆自组织网络交换信息(VANET)。本研究旨在利用RSS密钥生成技术在车载自组织网络上建立一个安全的数据通信系统。从修正量化日志开始,修正量化日志的结果表明:Alice和Bob之间的平均KDRM为Alice和Bob之间的平均KDRM为9.4%;与此同时,平均KGR为71.4个基点。这说明两个有效用户之间经过修改量化日志处理后的位不匹配数量已经很小,因为他们已经使用了前面的预处理过程,即使用卡尔曼滤波,并从BCH码的结果中重新进行匹配,使其成为密钥。下一个过程是用NIST测试测试的通用哈希。使用的NIST测试参数近似为熵、频率、块频率、最长运行时间、正向累积求和和反向累积求和。现有的结果是适当的;即达到p中大于0.01的阈值。从平均近似熵的结果可以看出,40k10ms方案获得的熵值最大,为0.7352。
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Secret Key Establishment Using Modified Quantization Log For Vehicular Ad-Hoc Network
Traditional cryptographic approaches such as symmetric and asymmetric cryptography are commonly employed to solve network security issues. The Secret Key Generation (SKG) system has the advantage of extracting secret keys from a wireless channel's physical layer information. It allows two wireless devices within the transmission range to extract a shared symmetric key without the use of a fixed key distribution infrastructure, allowing vehicular ad hoc networks to exchange information (VANET). This study aims to create a secure data communication system on the Vehicular Ad-Hoc Network using RSS Key Generation. Starting from the Modified Quantization Log, the results of the Modified Quantization Log show that the average KDRM between Alice and Bob is the average KDRM between Alice and Bob is 9.4%; meanwhile, the average KGR is 71.4 bps. This shows that the number of bit mismatches after the Modified Quantization Log process between the two valid users is already small, because they have used the pre-processing process in front of them, namely using the Kalman Filter and from the results of the BCH Code to be matched again so that it becomes the key. The next process is Universal Hash which is tested with the NIST test. The NIST Test parameters used are approximately entropy, frequency, block frequency, longest run, cumulative sum forward, and cumulative sum reverse. The existing results are appropriate; namely, the threshold in p whose value is above 0.01 is achieved. From the results of the Average Approximate Entropy, it is found that the largest value is obtained by the 40k10ms scheme, which is 0.7352.
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