Admonita: A Recommendation-based Trust Model for Dynamic Data Integrity

Wassnaa Al-Mawee, Steve Carr, Jean Mayo

Abstract

Data integrity is critical to the secure operation of a computer system. Applications need to know that the data that they access is trustworthy. Many current production-level integrity models are tightly coupled to a specific domain, (e.g., databases), or only apply after the fact (e.g., backups). In this paper we propose a recommendation-based trust model, called Admonita, for data integrity that is applicable to any structured data in a system and provides a measure of trust to applications on-the-fly. The proposed model is based on the Biba integrity model and utilizes the concept of an Integrity Verification Procedure (IVP) proposed by Clark-Wilson. Admonita incorporates subjective logic to maintain the trustworthiness of data and applications in a system. To prevent critical applications from losing trust, Admonita also incorporates the principle of weak tranquility to ensure that highly trusted applications can maintain their trust levels. We develop a simple algebra around these elements and describe how it can be used to calculate the trustworthiness of system entities. By applying subjective logic, we build a powerful, artificial and reasoning trust model for implementing data integrity.

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Paper Citation


in Harvard Style

Al-Mawee W., Carr S. and Mayo J. (2021). Admonita: A Recommendation-based Trust Model for Dynamic Data Integrity.In Proceedings of the 7th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP, ISBN 978-989-758-491-6, pages 273-282. DOI: 10.5220/0010150402730282


in Bibtex Style

@conference{icissp21,
author={Wassnaa Al-Mawee and Steve Carr and Jean Mayo},
title={Admonita: A Recommendation-based Trust Model for Dynamic Data Integrity},
booktitle={Proceedings of the 7th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP,},
year={2021},
pages={273-282},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010150402730282},
isbn={978-989-758-491-6},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 7th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP,
TI - Admonita: A Recommendation-based Trust Model for Dynamic Data Integrity
SN - 978-989-758-491-6
AU - Al-Mawee W.
AU - Carr S.
AU - Mayo J.
PY - 2021
SP - 273
EP - 282
DO - 10.5220/0010150402730282