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Abstract <p>The Internet of Things records a large amount of user information in the process of operation, which causes users to face the security risk of information leakage. The study presents blockchain technology, evaluates attack detection and node authentication techniques, and suggests network attack detection and node authentication techniques based on blockchain technology to ensure the information security of wireless sensor networks. The results revealed that all the nodes are infected in less than 20 time slots when the network nodes are 300 and after 50 time slots when the network nodes are 75, the worm attack completes the attack on all the nodes. The infection rate of the worm attack was increased gradually as the network nodes increases. The F1 value of the proposed scheme of the study increases with the advancement of time slots and can eventually increase to around 0.88. The research has developed a wireless sensor network node authentication in attack detection method that can effectively distinguish between normal and abnormal activity in the network, thereby realizing the wireless sensor network’s attack warning function. The research-designed sensor network node authentication technology and attack detection technology strengthens the confidentiality level of user information and promotes the popularization and application of wireless sensor networks.</p>

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Sensor Network Security Assurance Technology Based on Node Authentication and Attack Detection

  • 期刊论文

  • 发表日期：

    2025年10月1日

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  • Wei Yu,
  • Rende Zhang,
  • Ziyi Zhao,
  • Canbin Shi

摘要

Abstract

The Internet of Things records a large amount of user information in the process of operation, which causes users to face the security risk of information leakage. The study presents blockchain technology, evaluates attack detection and node authentication techniques, and suggests network attack detection and node authentication techniques based on blockchain technology to ensure the information security of wireless sensor networks. The results revealed that all the nodes are infected in less than 20 time slots when the network nodes are 300 and after 50 time slots when the network nodes are 75, the worm attack completes the attack on all the nodes. The infection rate of the worm attack was increased gradually as the network nodes increases. The F1 value of the proposed scheme of the study increases with the advancement of time slots and can eventually increase to around 0.88. The research has developed a wireless sensor network node authentication in attack detection method that can effectively distinguish between normal and abnormal activity in the network, thereby realizing the wireless sensor network’s attack warning function. The research-designed sensor network node authentication technology and attack detection technology strengthens the confidentiality level of user information and promotes the popularization and application of wireless sensor networks.