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Blockchain-inspired distributed security framework for Internet of Things.

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This study presents a novel distributed security framework for Internet of Things (IoT) networks. The framework uses software-defined networking (SDN), blockchain, and edge computing to enhance IoT security and rapidly detect cyberattacks.

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Area of Science:

  • Cybersecurity
  • Computer Networks
  • Distributed Systems

Background:

  • The proliferation of Internet of Things (IoT) devices has created significant security vulnerabilities.
  • Conventional security frameworks struggle with high computational costs, limited storage, and slow response times for IoT networks.
  • Continuous monitoring and analysis of historical data across the entire IoT network are crucial for robust cyberattack protection.

Purpose of the Study:

  • To introduce a novel distributed security framework for enhanced IoT network protection.
  • To efficiently detect and mitigate IoT-based cyberattacks using integrated technologies.
  • To address the limitations of traditional security approaches in the context of modern IoT environments.

Main Methods:

  • Leveraged software-defined networking (SDN) for network-wide data monitoring and analysis.
  • Integrated blockchain technology for decentralized and tamper-resistant attack identification.
  • Utilized edge computing for real-time attack detection at the network edge.

Main Results:

  • The proposed framework achieved a high detection accuracy of 98.7%.
  • Demonstrated a low false positive rate of 1.2%.
  • Achieved a rapid response time of 101.1 milliseconds.

Conclusions:

  • The distributed security framework significantly outperforms traditional methods in IoT security.
  • The integration of SDN, blockchain, and edge computing provides an effective solution for IoT attack detection and mitigation.
  • The framework ensures timely alerts and robust protection against cyber threats in IoT networks.