[en] Mobile edge computing (MEC) has emerged as a promising technology to extend the functionality of end-users’ wireless devices while prolonging their battery life by offloading computationally intensive tasks to remote edge servers. However, the inherent broadcast nature of wireless transmission during offloading introduces notable security challenges. To address this issue, we propose leveraging intelligent reflecting surface (IRS) technology to enhance physical layer security (PLS). Nevertheless, attaining high PLS for all users in dense networks with multiple malicious terminals is challenging. In this paper, we investigate the physical layer encryption (PLE) to complement the PLS in enabling secure wireless transmission. Since such encryption and decryption processes require computation resources, we aim to optimize the encryption decision, offloading decision, as well as wireless and computing resource allocations. Our objective is to minimize the maximum weighted energy consumption while satisfying practical constraints, including limited computing and wireless resources, fulfilling minimum user rate requirements, and complying with IRS conditions. To tackle the non-convex objective and constraints, we explore the utilization of bisection search and successive convex approximation (SCA) methods. Our numerical results confirm the efficiency of the proposed design in terms of energy consumption and network capacity within a secure MEC network.
Disciplines :
Electrical & electronics engineering
Author, co-author :
NGUYEN, Ti Ti ✱; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
HA, Vu Nguyen ✱; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
LE, Thanh-Dung ✱; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Tran, Duc-Dung ✱; Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, Luxembourg
CHATZINOTAS, Symeon ✱; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Nguyen, Kim-Khoa ✱; Ecole de Technologie Supérieure, Canada
✱ These authors have contributed equally to this work.
External co-authors :
yes
Language :
English
Title :
Reliable Intelligent Reflecting Surface-Assisted Mobile Edge Computing Systems: A Physical Layer Security and Encryption Design
Publication date :
2025
Journal title :
IEEE Transactions on Mobile Computing
ISSN :
1536-1233
Publisher :
Institute of Electrical and Electronics Engineers Inc.
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