吉林大学学报(信息科学版) ›› 2024, Vol. 42 ›› Issue (5): 979-984.

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基于改进RSA 算法的物联网身份认证优化方法

 汪德忠1,2   

  1. 1. 西安交通大学城市学院计算机系,西安710018;2. 机器人与智能制造陕西省高校工程研究中心,西安710018
  • 收稿日期:2023-01-31 出版日期:2024-10-21 发布日期:2024-10-23
  • 作者简介:汪德忠(1986— ), 男, 河南罗山人, 西安交通大学城市学院助教, 主要从事物联网, 大数据和信息安全研究, (Tel)86- 18629601196(E-mail)17785436@ qq. com。
  • 基金资助:
    西安交通大学城市学院2021年度校级科研基金资助项目(2021X04) 

Optimization of Internet of Things Identity Authentication Based on Improved RSA Algorithm

WANG Dezhong1,2   

  1. 1. Department of Computer, Xi’an Jiaotong University City College, Xi'an 710018, China; 2. Engineering Research Center of Robot and Intelligent Manufacturing, Universities of Shaanxi Province, Xi'an 710018, China
  • Received:2023-01-31 Online:2024-10-21 Published:2024-10-23

摘要: 针对由于噪声影响, 导致物联网身份认证准确率和效率较低的问题, 提出了一种新的基于改进RSA (Rivest-Shamir-Adleman)算法的物联网身份认证优化方法。 该方法通过构建传输信道模型获取用户身份信息, 并且构建降噪模型降噪预处理用户身份信息数据;针对处理后的数据,提取用户身份特征信息,以此构建物联 网身份认证算法;在此基础上,引入RSA算法,加密处理用户身份信息数据,实现物联网身份认证优化。 实验 结果表明,该方法身份认证准确率达到97.0%以上,认证效率较高,并且该方法不易受噪声环境的影响,在含 噪声的条件下,其认证率与理想认证率的最高误差仅为3.7%,具备了可行性和有效性。

关键词: RSA算法, 物联网;身份认证;数据采集;隐私保护

Abstract:  In view of the low accuracy and efficiency of Internet of Things authentication due to the influence of noise, a new optimization method of Internet of Things authentication based on improved RSA(Rivest-Shamir- Adleman) algorithm was proposed. In this method, a transmission channel model is constructed to obtain user identity information and a noise reduction model is constructed to preprocess user identity data. Based on the processed data, the user identity characteristic information is extracted to build the Internet of Things identity authentication algorithm. On this basis, RSA algorithm is introduced to encrypt and process user identity information data to realize the optimization of Internet of Things identity authentication. In addition, the proposed method is not easily affected by noise environment. Under the condition of noise, the maximum error between the authentication rate and the ideal authentication rate is only 3.7%. Therefore, the proposed method is feasible and effective. 

Key words: rivest-shamir-adleman ( RSA) algorithm, internet of things, identity authentication, data acquisition, privacy protection

中图分类号: 

  • TN249