Towards Building a Reputation-Based Microservices Trust Model Using Similarity Domains

Zhongyi Lu, Declan Delaney, Tong Li, David Lillis

2024

Abstract

Microservices have been seen as a solution to open systems, within which microservices can behave arbitrarily. This requires the system to have strong trust management. However, existing microservices trust models cannot fully support open systems. In this paper, we propose a reputation-based trust model designed for open microservices that groups similar microservices within the same “similarity domain” and includes a trust bootstrapping process and a comprehensive trust computation method. Our proposal introduces a new concept called “trust balancing” to assure that all microservices can fairly be incorporated into the operation of the system. The design of the evaluation plan is also introduced to demonstrate the suitability of the proposed model to open microservice systems.

Paper Citation

in Harvard Style

Lu Z., Delaney D., Li T. and Lillis D. (2024). Towards Building a Reputation-Based Microservices Trust Model Using Similarity Domains. In Proceedings of the 19th International Conference on Software Technologies - Volume 1: ICSOFT; ISBN 978-989-758-706-1, SciTePress, pages 169-176. DOI: 10.5220/0012838000003753

in Bibtex Style

@conference{icsoft24,
author={Zhongyi Lu and Declan Delaney and Tong Li and David Lillis},
title={Towards Building a Reputation-Based Microservices Trust Model Using Similarity Domains},
booktitle={Proceedings of the 19th International Conference on Software Technologies - Volume 1: ICSOFT},
year={2024},
pages={169-176},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012838000003753},
isbn={978-989-758-706-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Conference on Software Technologies - Volume 1: ICSOFT
TI - Towards Building a Reputation-Based Microservices Trust Model Using Similarity Domains
SN - 978-989-758-706-1
AU - Lu Z.
AU - Delaney D.
AU - Li T.
AU - Lillis D.
PY - 2024
SP - 169
EP - 176
DO - 10.5220/0012838000003753
PB - SciTePress