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Implementing zero trust security with dual fuzzy methodology for trust-aware authentication and task offloading in Multi-access Edge Computing
Open accessAbstract
This paper proposes an efficient trust-aware authentication and task offloading scheme for Multi-Access Edge Computing (MEC) using the Zero Trust Security (ZTS) principles. The proposed method uses a dual fuzzy logic system to evaluate the trustworthiness of edge servers. Devices connected to the edge servers are authenticated using identity, biometrics and Physical Unclonable Function (PUF) measures. After authentication, tasks can be offloaded from the devices to the most trustworthy edge server. The proposed scheme also considers the resource constraints of the edge servers and aims to minimise the overall task completion time. The experimental results show that the proposed scheme outperforms existing schemes regarding authentication accuracy, task completion time, and energy consumption.
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From Blockchain-based secure MEC model for VANETs using hybrid networks (2025) · cites this paper as [17]
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Metadata
- Authors
- Ali, B., Gregory, M. A., Li, S., & Dib, O. A.
- Affiliations
- RMIT University (AU)
- Kuwait College of Science and Technology (KW)
- Corresponding author
- Ali, Belal
- Venue
- Computer Networks
- Publisher
- Elsevier BV
- Published
- 2024-03
- Volume
- 241
- Pages
- 110197
- ISSN
- 1389-1286 (ISSN-L)
- OpenAlex
- W4391470024
- Cited by
- 38
- References
- 36
- Citations by year
- 2026: 17 · 2025: 17 · 2024: 4
- FWCI
- 6.34
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Computer Networks (publishedVersion, cc-by)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Computer Networks and Communications › Access Control and Trust
- Physical Sciences › Computer Science › Computer Networks and Communications › Advanced Authentication Protocols Security
- Keywords
- zero-trust security, mobile edge computing, task offloading, physical unclonable functions, biometric authentication, identity-based authentication, task completion time, energy consumption, resource constraints
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