Authentication Security Level and Resource Optimization of Computation Offloading in Edge Computing Systems

Xiao, Huizi; Pei, Qingqi; Song, Xifei; Shi, Wei

doi:10.1109/jiot.2021.3139222

Cited by 9 publications

(2 citation statements)

References 32 publications

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“…In the EC environment, CO services are intended to serve IoT applications that demand considerable processing power and must function with minimal latency. Creating anonymous mutual authentication between many IoT devices and EdSrs may be challenging 159 and various authentication techniques are compared in Table 13. CO services seek to address this issue by securely shifting the computational tasks from IoT devices to EdSrs.…”

Section: Authentication and Traceability Based Offloading In Ecmentioning

confidence: 99%

“…The authors proposed a lightweight anonymous mutual authentication (LAMANCO) scheme for smart cards. Xiao et al 159 explored hash algorithms used on the EdSrs for offloading decisions to optimize the authentication security level of the Merkle tree signature. To optimize the time delay and authentication security level simultaneously, they proposed an optimization problem to jointly optimize the offloading decision, EC frequency, and amount of data blocks.…”

Section: Authentication and Traceability Based Offloading In Ecmentioning

confidence: 99%

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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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Section: Authentication and Traceability Based Offloading In Ecmentioning

confidence: 99%

Section: Authentication and Traceability Based Offloading In Ecmentioning

confidence: 99%