TFCB-Fog: Trust Framework for Cluster-based Fog Computing Environments

Decentralized fog computing facilitates real-time interactions, reduces latency, supports heterogeneity, and enables network services between the Internet of Things (IoT) layer and cloud data centers. A major challenge within the fog layer is the identification of reliable fog nodes. In this context, an adaptive, hybrid, scalable, and low-latency trust framework is necessary for trustworthy node communication between fog nodes. This paper presents a trust framework for cluster-based fog computing environments (TFCB-Fog). TFCB-Fog integrates various features such as direct, indirect, and composed trust; context trust; cluster memberships (recommenders); weighted trust; initial trust; and adaptive trust evaluation. Performance evaluation results prove that TFCB-Fog effectively utilizes trust calculations to counter attacks and achieve satisfactory results in isolating malicious fog nodes within fog computing environments.

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Publication Details

Published
2024-12-17
DOI
https://doi.org/10.1109/icca62237.2024.10928157
Primary Topic
IoT and Edge/Fog Computing
Type
article
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article

TFCB-Fog: Trust Framework for Cluster-based Fog Computing Environments

Yasmine N. M. Saleh, Ayman Abdel-Hamid, Mohamed Ben Ahmed
IoT and Edge/Fog Computing
article

TFCB-Fog: Trust Framework for Cluster-based Fog Computing Environments

Yasmine N. M. Saleh, Ayman Abdel-Hamid, Mohamed Ben Ahmed
article en

Abstract

Decentralized fog computing facilitates real-time interactions, reduces latency, supports heterogeneity, and enables network services between the Internet of Things (IoT) layer and cloud data centers. A major challenge within the fog layer is the identification of reliable fog nodes. In this context, an adaptive, hybrid, scalable, and low-latency trust framework is necessary for trustworthy node communication between fog nodes. This paper presents a trust framework for cluster-based fog computing environments (TFCB-Fog). TFCB-Fog integrates various features such as direct, indirect, and composed trust; context trust; cluster memberships (recommenders); weighted trust; initial trust; and adaptive trust evaluation. Performance evaluation results prove that TFCB-Fog effectively utilizes trust calculations to counter attacks and achieve satisfactory results in isolating malicious fog nodes within fog computing environments.

Arab Academy for Science, Technology, and Maritime Transport (EG)
Openalex Percentile: Top 66%
IoT and Edge/Fog Computing
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TFCB-Fog: Trust Framework for Cluster-based Fog Computing Environments — Yasmine N. M. Saleh, Ayman Abdel-Hamid, et al. · (2024) | TGRS Research Map | TGRS