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A Blockchain-Based Multi-Mobile Code-Driven Trust Mechanism for Detecting Internal Attacks in Internet of Things.

Noshina Tariq1, Muhammad Asim1, Farrukh Aslam Khan2

  • 1Department of Computer Science, National University of Computer and Emerging Sciences, Islamabad 44000, Pakistan.

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Summary

This study introduces an energy-efficient, decentralized trust mechanism using blockchain for detecting internal attacks in Internet of Things (IoT) sensor networks. The solution significantly reduces message overhead and malicious node detection time, enhancing network lifespan.

Keywords:
blockchainenergy-efficiencyinternet of thingsmulti-mobile codetrust

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Network Engineering

Background:

  • Wireless Sensor Nodes (SNs) and smart applications are prevalent but vulnerable to internal and external attacks.
  • Mitigating internal attacks in SN-powered IoT is challenging due to energy consumption, latency, and scalability concerns.
  • Existing security solutions often overlook the decentralized nature of IoT deployments, favoring centralized approaches.

Purpose of the Study:

  • To propose an energy-efficient, decentralized trust mechanism for detecting internal attacks in SN-powered IoT environments.
  • To leverage a blockchain-based, multi-mobile code-driven solution for enhanced security.
  • To improve network lifespan by addressing energy consumption and detection time.

Main Methods:

  • Development of a decentralized trust mechanism utilizing blockchain technology.
  • Implementation of a multi-mobile code-driven approach for attack detection.
  • Evaluation of the solution's performance against blackhole and greyhole attacks in IoT sensor networks.

Main Results:

  • The proposed solution demonstrated a significant reduction in message overhead: 43.94% for blackhole attacks and 2.67% for greyhole attacks.
  • Malicious node detection time was reduced by 20.35% for blackhole attacks and 11.35% for greyhole attacks.
  • These improvements contribute to a more effective and longer-lasting IoT network lifespan.

Conclusions:

  • The blockchain-based decentralized trust mechanism offers a superior approach to detecting internal attacks in IoT sensor networks compared to existing solutions.
  • The method effectively balances security requirements with critical network parameters like energy efficiency, latency, and scalability.
  • This research provides a robust framework for securing decentralized IoT ecosystems against sophisticated internal threats.