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Post-Quantum Secure Blockchain Framework for Edge-Based Mobile Task Offloading in Consumer Electronics and IoTs

Haewon ByeonConvergence Department, Korea University of Technology and Education, Cheonan, South KoreaMohammed KhalafDepartment of Computer Science, College of Science, University of Al-Maarif, Al Anbar, IraqAbdelhamid ZaïdiDepartment of Mathematics, College of Science, Qassim University, Buraydah, Saudi ArabiaSaahira Banu AhamedDepartment of Computer Science, College of Engineering and Computer Science, Jazan University, Jazan, Saudi ArabiaShakir KhanInformation Technology Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi ArabiaPavitar Parkash SinghMittal School of Business, Lovely Professional University, Phagwara, IndiaHadeel AlsolaiDepartment of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi ArabiaKhumoyun ObidkhonovDepartment of Financial Analysis, Tashkent State University of Economics, Tashkent, UzbekistanRupesh GuptaCentre for Research Impact & Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, India
ABI

Аннотация

The rapid proliferation of mobile and consumer electronic devices, particularly within the Industrial Internet of Things (IIoT), has heightened the demand for low-latency, secure, and cost-efficient computational services. Edge computing emerges as a promising paradigm to meet these requirements by enabling computation at the network edge. However, the process of mobile task offloading to edge nodes introduces significant challenges in terms of data security, integrity, and performance—especially under emerging quantum threats. To address these concerns, this paper proposes a post-quantum cryptography (PQC)-enabled blockchain-based secure edge task offloading framework tailored for consumer electronics and IoT systems. The proposed method leverages a consortium blockchain for decentralized identity authentication and task verification, while integrating PQC mechanisms to ensure long-term cryptographic resilience against quantum adversaries. A genetic algorithm-based decision engine is employed for dynamic and reliable task scheduling, optimizing offloading performance based on latency, cost, and resource dependability. Experimental evaluations show that the proposed system effectively enhances the security and reliability of edge-based task offloading while maintaining low latency, making it suitable for next-generation mobile and IoT applications in the quantum era. According to the statistical results of every uninstallation in scenario 1, BROA outperforms Coopedge in terms of average optimization uninstallation cost at 11.5% and average uninstallation success rate at 16.1%.

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