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September 10, 2025International Journal of Latest Technology in Engineering Management & Applied Science

A Secure Framework for IoT Applications Using Blockchain and Artificial Intelligence

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Authors

TYTarun YadavRCRuby Chauhan

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Overview

Research demonstrates improved detection accuracy using AI and blockchain in IoT systems, suggesting enhanced security measures.

Key Points

  • Detection accuracy reached 97.26%, showcasing the effectiveness of the proposed security framework.
  • The research utilized a hybrid intrusion detection system, integrating LSTM and Deep Reinforcement Learning for enhanced security.
  • Blockchain-based solutions were incorporated, alongside improved PCA methods to further reduce false positives.
  • Formal verification of IoT protocols was conducted using the Scyther tool to ensure secure communication.

Cite This Study

Yadav et al. (2025) studied this question.

synapsesocial.com/papers/68c1bd3b54b1d3bfb60ee738https://doi.org/10.51583/ijltemas.2025.1407000046
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Also Consider

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  4. 4Adaptive ML-blockchain framework for intrusion detection and trust management in IoT networks2026 · 1 citations
  5. 5AI-Driven Risk Management Framework for Decentralized IoT Systems: Integrating Blockchain Technology for Enhanced Security and Trust2025 · 1 citations