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<p>The Internet of Things (IoT) faces increasing security challenges, as traditional encryption-based methods often fail to prevent cyberattacks while maintaining reliable and cost-effective communication. To overcome these issues, this work introduces a security model that enhances existing frameworks by identifying and analyzing malicious data flows, significantly improving IoT network protection. The proposed approach connects blockchain-based Software-Defined Network (SDN) controllers with SDN switches and IoT applications, creating a highly secure and energy-efficient communication system. This framework detects potential threats, minimizes security risks, and improves overall network performance. To support real-time monitoring, two types of messages are introduced: non-contemporary beacons, which inform SDN controllers about network events through blockchain-SDN switches, and encoded statistical beacons, which provide detailed insights for further security analysis. The proposed method demonstrates substantial improvements over existing technologies, including a 76% reduction in network overhead, 82% lower latency, 73% stronger resistance to malicious data flows, 54% higher throughput, 32% less bandwidth usage, 65% faster algorithm execution, and 41% lower memory consumption. These results highlight the effectiveness of the model in providing faster, safer, and more efficient IoT communication.</p>

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Optimizing internet of things security through blockchain enabled software defined networking

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年12月15日

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  • Sridevi Tumula,
  • Y. Ramadevi,
  • M. Rudra Kumar,
  • Premkumar Chithaluru,
  • Ramesh Babu Palamakula,
  • Sunil Goli,
  • Pallati Narsimhulu,
  • Mona Jamjoom ,
  • Diaa Salama Abd Elminaam

摘要

The Internet of Things (IoT) faces increasing security challenges, as traditional encryption-based methods often fail to prevent cyberattacks while maintaining reliable and cost-effective communication. To overcome these issues, this work introduces a security model that enhances existing frameworks by identifying and analyzing malicious data flows, significantly improving IoT network protection. The proposed approach connects blockchain-based Software-Defined Network (SDN) controllers with SDN switches and IoT applications, creating a highly secure and energy-efficient communication system. This framework detects potential threats, minimizes security risks, and improves overall network performance. To support real-time monitoring, two types of messages are introduced: non-contemporary beacons, which inform SDN controllers about network events through blockchain-SDN switches, and encoded statistical beacons, which provide detailed insights for further security analysis. The proposed method demonstrates substantial improvements over existing technologies, including a 76% reduction in network overhead, 82% lower latency, 73% stronger resistance to malicious data flows, 54% higher throughput, 32% less bandwidth usage, 65% faster algorithm execution, and 41% lower memory consumption. These results highlight the effectiveness of the model in providing faster, safer, and more efficient IoT communication.