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Hybrid Fuzzy Rule Algorithm and Trust Planning Mechanism for Robust Trust Management in IoT-Embedded Systems Integration

Author

Listed:
  • Nagireddy Venkata Rajasekhar Reddy

    (Department of IT, MLR Institute of Technology, Hyderabad 500043, India)

  • Pydimarri Padmaja

    (Department of Electronics and Communication Engineering, Teegala Krishna Reddy Engineering College, Hyderabad 500097, India)

  • Miroslav Mahdal

    (Department of Control Systems and Instrumentation, Faculty of Mechanical Engineering, VSB-Technical University of Ostrava, 17. Listopadu 2172/15, 70800 Ostrava, Czech Republic)

  • Selvaraj Seerangan

    (Department of Computer Science and Design, Kongu Engineering College, Perundurai, Erode 638060, India)

  • Vrince Vimal

    (Department of Computer Science and Engineering, Graphic Era Hill University, Dehradun 248002, India)

  • Vamsidhar Talasila

    (Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Guntur 522302, India)

  • Lenka Cepova

    (Department of Machining, Assembly and Engineering Metrology, Faculty of Mechanical Engineering, VSB-Technical University of Ostrava, 17. Listopadu 2172/15, 70800 Ostrava, Czech Republic)

Abstract

The Internet of Things (IoT) is rapidly expanding and becoming an integral part of daily life, increasing the potential for security threats such as malware or cyberattacks. Many embedded systems (ESs), responsible for handling sensitive data or facilitating secure online activities, must adhere to stringent security standards. For instance, payment processors employ security-critical components as distinct chips, maintaining physical separation from other network components to prevent the leakage of sensitive information such as cryptographic keys. Establishing a trusted environment in IoT and ESs, where interactions are based on the trust model of communication nodes, is a viable approach to enhance security in IoT and ESs. Although trust management (TM) has been extensively studied in distributed networks, IoT, and ESs, significant challenges remain for real-world implementation. In response, we propose a hybrid fuzzy rule algorithm (FRA) and trust planning mechanism (TPM), denoted FRA + TPM, for effective trust management and to bolster IoT and ESs reliability. The proposed system was evaluated against several conventional methods, yielding promising results: trust prediction accuracy (99%), energy consumption (53%), malicious node detection (98%), computation time (61 s), latency (1.7 ms), and throughput (9 Mbps).

Suggested Citation

  • Nagireddy Venkata Rajasekhar Reddy & Pydimarri Padmaja & Miroslav Mahdal & Selvaraj Seerangan & Vrince Vimal & Vamsidhar Talasila & Lenka Cepova, 2023. "Hybrid Fuzzy Rule Algorithm and Trust Planning Mechanism for Robust Trust Management in IoT-Embedded Systems Integration," Mathematics, MDPI, vol. 11(11), pages 1-18, June.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:11:p:2546-:d:1161840
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    References listed on IDEAS

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    1. Bitencourt, Hugo Vinicius & de Souza, Luiz Augusto Facury & dos Santos, Matheus Cascalho & Silva, Rodrigo & de Lima e Silva, Petrônio Cândido & Guimarães, Frederico Gadelha, 2023. "Combining embeddings and fuzzy time series for high-dimensional time series forecasting in internet of energy applications," Energy, Elsevier, vol. 271(C).
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