Trust Assessment for Internet of Things in Multi-access Edge Computing

Ruan, Yefeng; Durresi, Arjan; Uslu, Süleyman

doi:10.1109/aina.2018.00165

Cited by 32 publications

(16 citation statements)

References 25 publications

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“…Table1 summarises the capabilitybased access control mechanisms. There are other mechanisms such as TPM-based access control [47] that might be suitable for a particular MEC environment.…”

Section: ) Access Controlmentioning

confidence: 99%

“…Content may change prior to final publication. trust domains [47]- [49]. At the same time, considering the flexibility of the MEC architecture, achieving mutual authentication with anonymity and untraceability are crucial for data security and user privacy [50], [51].…”

Section: ) Identity and Authenticationmentioning

confidence: 99%

“…However, components may not offer the equivalent to the cloud security requirements, e.g., isolation [12], [34], [35]. Applications or services may not be designed using trusted computing practices, and this introduces risk in a MEC and edge network environment [47].…”

Section: Edge Network Threatsmentioning

confidence: 99%

“…The security of the core infrastructure can have a linked effect on associated systems, e.g., the cloud [47]. It is essential to investigate the specific threats that target the core infrastructure in this particular context.…”

Section: Core Infrastructure Security Threatsmentioning

confidence: 99%

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Multi-Access Edge Computing Architecture, Data Security and Privacy: A Review

Ali

Gregory

2021

IEEE Access

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Multi-Access Edge Computing (MEC) is an extension of cloud computing that aims to provide computation, storage, and networking capabilities at the edge of the network in close proximity to end-users. The MEC architecture supports applications and services that bridge between cloud computing and end-users. The architecture includes devices and systems that are interconnected, layered, and flexibly deployed. As a result of the technological advancements, MEC is facing a myriad of highly sophisticated threats. This paper provides a review of MEC Architecture, use cases, conceptual guidelines for MEC security architecture, security and privacy techniques, and identifies current and future challenges, their implications, and approaches to overcome the challenges. This research examined significant threats, described the MEC architecture, identified the susceptible functional layers, the different categories of threats, and the potential security safeguards. The research recommends that MEC providers should implement multiple layers of security controls to mitigate targeted attacks.

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“…Table1 summarises the capabilitybased access control mechanisms. There are other mechanisms such as TPM-based access control [47] that might be suitable for a particular MEC environment.…”

Section: ) Access Controlmentioning

confidence: 99%

Section: ) Identity and Authenticationmentioning

confidence: 99%

Section: Edge Network Threatsmentioning

confidence: 99%

Section: Core Infrastructure Security Threatsmentioning

confidence: 99%

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Multi-Access Edge Computing Architecture, Data Security and Privacy: A Review

Ali

Gregory

2021

IEEE Access

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“…Ruan et al [26] proposed a flexible security architecture of Internet of Things access to edge cloud computing. Through multi-access edge cloud computing platform, the Internet of Things can connect to a nearby cloudlet, and then it can communicate with other devices, computers, or cloud resources.…”

Section: Relevant Workmentioning

confidence: 99%

An Efficient and Credible Multi-Source Trust Fusion Mechanism Based on Time Decay for Edge Computing

Kong

Hou

et al. 2020

Electronics

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With the development of 5G, user terminal computing moves up and cloud computing sinks, thus forming a computing fusion at the edge. Edge computing with high-efficiency, real-time, and fast features will become part of 5G construction. Utilizing distributed computing and storage resources at the edge of the network to perform distributed data processing tasks can alleviate the load on the cloud computing center, which is also the development trend of edge computing. When a malicious node exists, the error information feedback by the node will affect the result of local perception decision. To solve the problem of malicious behavior of the node, a node trust evaluation mechanism of interactive behavior is introduced. The trust mechanism for edge computing network environments is introduced as a novel security solution. First, the key thought of the trust mechanism proposed in this paper is to establish a trust relationship between edge nodes in open edge computing environment. Then, a multi-source trust fusion algorithm based on time decay aggregates direct interaction trust and different third-party recommendation trust to calculate the global trust of the evaluated nodes. Finally, simulation experiments show that the algorithm has a certain degree of improvement in computational efficiency and interaction success rate over other existing models, which reduces the situation of malicious node deception.

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