Open Access

ARTICLE

A Spectrum Allocation and Security-Sensitive Task Offloading Algorithm in MEC Using DVS

Xianwei Li^1,2, Bo Wei^3,4, Xiaoying Yang^5,6,*, Amr Tolba⁷, Zijian Zeng⁸, Osama Alfarraj^7,*

1 School of Computer and Information Engineering, Bengbu University, Bengbu, 233000, China
2 Anhui Engineering Research Center for Intelligent Applications and Security of Industrial Internet, Anhui University of Technology, Ma’anshan, 243032, China
3 Faculty of Environmental, Life, Natural Science and Technology, Okayama University, Okayama, 700-8530, Japan
4 Japan Science and Technology Agency (JST), PRESTO, Kawaguchi, 332-0012, Japan
5 School of Information Engineering, Suzhou University, Suzhou, 237000, China
6 State Key Laboratory of Tea Biology and Resource Utilization, Anhui Agricultural University, Hefei, 230000, China
7 Computer Science and Engineering Department, College of Applied Studies, King Saud University, Riyadh, 11437, Saudi Arabia
8 Institute of Computer Science and Digital Innovation, UCSI University, Kuala Lumpur, 56000, Malaysia

* Corresponding Authors: Xiaoying Yang. Email: ; Osama Alfarraj. Email:

Computers, Materials & Continua 2025, 85(2), 3437-3455. https://doi.org/10.32604/cmc.2025.067200

Received 27 April 2025; Accepted 22 July 2025; Issue published 23 September 2025

Abstract

With the advancements of the next-generation communication networking and Internet of Things (IoT) technologies, a variety of computation-intensive applications (e.g., autonomous driving and face recognition) have emerged. The execution of these IoT applications demands a lot of computing resources. Nevertheless, terminal devices (TDs) usually do not have sufficient computing resources to process these applications. Offloading IoT applications to be processed by mobile edge computing (MEC) servers with more computing resources provides a promising way to address this issue. While a significant number of works have studied task offloading, only a few of them have considered the security issue. This study investigates the problem of spectrum allocation and security-sensitive task offloading in an MEC system. Dynamic voltage scaling (DVS) technology is applied by TDs to reduce energy consumption and computing time. To guarantee data security during task offloading, we use AES cryptographic technique. The studied problem is formulated as an optimization problem and solved by our proposed efficient offloading scheme. The simulation results show that the proposed scheme can reduce system cost while guaranteeing data security.

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Keywords

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