An efficient framework for trust evaluation of secure service selection in fog computing based on QoS, reputation, and social criteria

Afzali, Mahboubeh; Pourmohammadi, Hamid; Samani, Amin Mohammad Vali

doi:10.1007/s00607-022-01053-w

Cited by 6 publications

(2 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The remedy can withstand a substantial population of rogue nodes and successfully prevent trust-based attacks. The author's [38] research work identified a comprehensive collection of efficient criteria for highly secured selection in a fog-based computing environment. Furthermore, a good work decision-making technique with fuzzy and excellent worst techniques is used to evaluate the contribution level of every metric on trust level, considering metrics ambiguity.…”

Section: Related Workmentioning

confidence: 99%

“…While these approaches have shown improvements in trustworthiness and security, they must offer a comprehensive framework that addresses the broader challenges of trust management and network performance optimization. Furthermore, existing trust management systems [37][38][39][40][41][42][43] have mainly relied on traditional measures such as reputation, quality of service, and social ties between nodes. While these approaches have provided valuable insights, they often need to pay more attention to fog computing environments' specific requirements and characteristics.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Performance Analysis of a Keyword-Based Trust Management System for Fog Computing

Alwakeel

2023

Applied Sciences

View full text Add to dashboard Cite

This study presents a novel keyword-based trust management system for fog computing networks aimed at improving network efficiency and ensuring data integrity. The proposed system establishes and maintains trust between fog nodes using trust keywords recorded in a table on each node. Simulation research is conducted using iFogSim to evaluate the efficacy of the proposed scheme in terms of latency and packet delivery ratio. The study focuses on addressing trust and security challenges in fog computing environments. By leveraging trust keywords, the proposed system enables accurate evaluation of trustworthiness and identification of potentially malicious nodes. The system enhances the security of fog computing by mitigating risks associated with unauthorized access and malicious behavior. While the study highlights the significance of trust keywords in improving network performance and trustworthiness, it fails to provide detailed explanations of the trust mechanism itself. Additionally, the role of fog computing in the proposed approach is not adequately emphasized. Future research directions include refining and optimizing the proposed framework to consider resource constraints, dynamic network conditions, and scalability. Integration of advanced security mechanisms such as encryption and authentication protocols will be explored to strengthen the trust foundation in fog computing environments. In conclusion, the proposed keyword-based trust management system offers potential benefits for improving network performance and ensuring data integrity in fog computing. However, further clarification of the trust mechanism and a stronger emphasis on the role of fog computing would enhance understanding of the proposed approach.

show abstract

Section: Related Workmentioning

confidence: 99%