A Secure Framework for IoT Applications Using Blockchain and Artificial Intelligence

Tina Yadav and Ravindra Chauhan
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Tina Yadav: Deptt. of Computer Science & Engineering, R.D Engineering College Ghaziabad Uttar Pradesh India
Ravindra Chauhan: Deptt. of Computer Science & Engineering, R.D Engineering College Ghaziabad Uttar Pradesh India

International Journal of Latest Technology in Engineering, Management & Applied Science, 2025, vol. 14, issue 7, 401-404

Abstract: This research addresses key security and privacy challenges in IoT by proposing a multi-layered security framework. It includes formal verification of IoT protocols using the Scyther tool for secure communication, a hybrid intrusion detection system using LSTM and Deep Reinforcement Learning, and an ensemble model combining CNNs with a Quantum Neural Network to improve detection accuracy. Additionally, a blockchain-based system with Improved PCA and a GRU–Deep Belief Network classifier enhances accuracy and reduces false positives. Experiments demonstrate strong performance, with detection accuracy up to 97.26% and improved reliability through blockchain integration.

Date: 2025
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