Secure Offloading Design in Multi-user Mobile-Edge Computing Systems

Zhang, Zheng; Fu, Yongwei; Lan, Xiaolong; Chen, Qingchun

doi:10.1109/icccs52626.2021.9449190

Cited by 4 publications

(3 citation statements)

References 22 publications

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“…In [21], a NOMAassisted secure computation offloading has been investigated under the eavesdropping attack, in which a wireless user forms a NOMA pair with an edge-computing user to provide cooperative jamming to the eavesdropper while gaining the opportunity of sending its data. In [22], an optimization problem has been introduced to minimize the weighted sum of the execution latency and energy consumption subject to communication and computation resource constraints for a MEC system consisting of one MEC server, multiple mobile devices and one eavesdropper. In [23], the authors have examined a deep reinforcement learning-based mobile offloading scheme for edge computing against jamming attacks and interference.…”

Section: ) Secure Mec Systemsmentioning

confidence: 99%

“…While designing a secure offloading mechanism in the proposed MEC framework, we define a constraint based on secrecy rate to diminish the offloading information leakage to the eavesdropper. According to [6] [19] [22] and [24], the transmission delay by considering the security constraint is expressed as follows:…”

Section: Algorithm 2 Optimizing the Overall Delay Based On Interior-p...mentioning

confidence: 99%

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Delay Minimization for Massive MIMO Based Cooperative Mobile Edge Computing System With Secure Offloading

Yilmaz

Özbek

Mumtaz³

2023

IEEE Open J. Veh. Technol.

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Mobile edge computing (MEC) has been envisioned as a promising technology for enhancing the computational capacities of mobile devices by enabling task offloading. In this paper, we present a novel framework for a cooperative MEC system by employing Massive Multiple-Input Multiple-Output (MIMO) and non-orthogonal multiple access (NOMA) technologies, including security aspects. Specifically, in the proposed cooperative MEC system, there is no strong direct transmission link between the cell-edge user and the MEC server; consequently, the user sends their tasks to the MEC server through the helpers at the cell-centers. In the proposed framework, we minimize the overall delay, including secure offloading under the constraints of computing capability and transmit power. The proposed algorithm minimizes the overall delay in downlink and uplink transmission while satisfying security constraints to solve the formulated problem. The simulation results show that Massive MIMO based NOMA improves the performance of the secure MEC system by employing more than one helper.INDEX TERMS Secure offloading, delay minimization, massive multiple input multiple output (MIMO), mobile edge computing (MEC), non-orthogonal multiple access (NOMA)

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Section: ) Secure Mec Systemsmentioning

confidence: 99%

Section: Algorithm 2 Optimizing the Overall Delay Based On Interior-p...mentioning

confidence: 99%

Delay Minimization for Massive MIMO Based Cooperative Mobile Edge Computing System With Secure Offloading

Yilmaz

Özbek

Mumtaz³

2023

IEEE Open J. Veh. Technol.

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“…One of the most straightforward methods to solve optimization problems in NOMA-MEC networks is based on one-dimension search algorithms, such as Golden section search (GSS) or Fibonacci search [10,29,30]. For instance, Wu et al [10] proposed an efficient layered algorithm based on a GSS to find the optimal offloading parameter that minimizes system delay [10].…”

Section: Related Workmentioning

confidence: 99%

System performance and optimization in NOMA mobile edge computing surveillance network using GA and PSO

Truong

Nayyar

2023

Computer Networks

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Computation offloading techniques in edge computing: A systematic review based on energy, QoS and authentication

Kanupriya,

Chana,

Goyal

2024

Concurrency and Computation

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SummaryIn today's era, Internet of Things (IoT) devices generate a vast amount of data, which is typically stored in the cloud environment and can be accessed by edge and IoT devices. The data generated by these devices are offloaded through computation offloading (CO) techniques in an edge/cloud computing environment. This paper conducts a systematic literature review (SLR) to review the state‐of‐the‐art CO techniques in edge computing (EC) in the context of energy, Quality of Service (QoS), authentication and traceability. In this SLR, the evolution of offloading techniques is analyzed in detail. A total of 138 articles, spanning from 2016 to 2023 (till date), have been classified into QoS, energy, and authentication and traceability‐based CO techniques. The optimization‐based techniques are the most preferred choices to improve the QoS and reduce energy in the research field of CO in EC. In addition, this paper explores the significant issues and challenges that require further investigation. For future research, energy, QoS, and data provenance for dependent or dynamic task offloading in mobility scenarios can be explored further.

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Secure Offloading Design in Multi-user Mobile-Edge Computing Systems

Cited by 4 publications

References 22 publications

Delay Minimization for Massive MIMO Based Cooperative Mobile Edge Computing System With Secure Offloading

Delay Minimization for Massive MIMO Based Cooperative Mobile Edge Computing System With Secure Offloading

System performance and optimization in NOMA mobile edge computing surveillance network using GA and PSO

Computation offloading techniques in edge computing: A systematic review based on energy, QoS and authentication

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