STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Polymer & Composites Original Research Special issue

Cyber-Secure IoT Framework for Monitoring Fiber-Reinforced Polymer Composites Using Embedded Sensors

  1. Pasuluri Bindu Swetha Department of Electronics and Communication Engineering, Ravindra College of Engineering for Women (Autonomous), Kurnool
  2. Vandana Ahuja Department of Computer Science and Engineering, Maharishi Markandeshwar Engineering College, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala
  3. Sunil Kr Pandey Department of Information Technology, Institute of Technology & Science, Ghaziabad
  4. Pacha Supriya Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Green Fields, Vaddeswaram, Guntur
  5. Sohan Das Department of Computer Science Engineering–Artificial Intelligence, Brainware University
  6. G. Nagaraj Department of Mechanical Engineering, Sethu Institute of Technology

Abstract

The present research paper suggests a cyber-safe Internet of Things system in real-time monitoring of fiber-reinforced polymer composites with inbuilt sensors. It is aimed at enhancing structural health maintenance, using sensual, intelligent analysis, and data protection in the same platform. Multi-layer architecture An embedded sensor, signal processing, anomaly detection and lightweight layer of cyber-security are developed. Experimental validation is done under controlled conditions and the performance is measured by these measures as accuracy, latency and false alarm rate. A 5-fold cross simulation methodology is employed in order to ensure the strength and statistical consistency. The proposed framework achieves a detection accuracy of 94.3% with low false alarm rates and stable performance across varying conditions. The anomaly detection may also be added to increase the diagnostic capability, but the cyber-security layer offers the integrity of the data under the lowest latency overhead. As depicted using comparative analysis, the technique performs better than existing techniques of monitoring composite using IoT. The work has its foundation on the integration of cyber-security and smart polymer composite surveillance (in contrast to the conventional systems), which is concerned with the integrity and privacy of data. The architecture offers scalable and efficient architecture to the future generation smart composite structures. The future will be focused on massive implementation, advanced learning models and advanced security control against the advanced real world implementations.

Keywords

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