Evaluation of Entity Trustworthiness Based on Public and Private Data

Marc Sel; Hasin Ishraq Reefat; Naghmeh Karimi; Konstantinos Mersinas

doi:10.1007/978-3-031-76714-2_9

Evaluation of Entity Trustworthiness Based on Public and Private Data

Marc Sel, Hasin Ishraq Reefat, Naghmeh Karimi, Konstantinos Mersinas

Department of Information Security

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper presents an analysis of how reconciliation of public and private data can be used to evaluate the trustworthiness of an entity. The TE (Trustworthy Ecosystem) knowledge graph is used as a basis. We demonstrate how public and private data can be used to add instance data to a TE graph, and how a trustworthiness evaluation policy can be extended to make use of this data during evaluation. It is argued and demonstrated that reconciliation of independent information about an entity can be used in evaluating the entity’s trustworthiness.

Original language	English
Title of host publication	Trust Management XIV
Pages	136-145
Number of pages	10
Volume	694
ISBN (Electronic)	978-3-031-76714-2
DOIs	https://doi.org/10.1007/978-3-031-76714-2_9
Publication status	Published - 22 Dec 2024

Publication series

Name	IFIP Advances in Information and Communication Technology
Publisher	Springer Nature
Volume	694
ISSN (Print)	1868-4238
ISSN (Electronic)	1868-422X

Keywords

trust
ontology
trustworthiness
OWL
eIDAS
EUDI
Identity Wallet
Knowledge Graph
GLEIF

Access to Document

10.1007/978-3-031-76714-2_9

Embargoed Document

Accepted Manuscript
Accepted author manuscript, 385 KB
Embargo ends: 22/12/25

Cite this

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title = "Evaluation of Entity Trustworthiness Based on Public and Private Data",

abstract = "This paper presents an analysis of how reconciliation of public and private data can be used to evaluate the trustworthiness of an entity. The TE (Trustworthy Ecosystem) knowledge graph is used as a basis. We demonstrate how public and private data can be used to add instance data to a TE graph, and how a trustworthiness evaluation policy can be extended to make use of this data during evaluation. It is argued and demonstrated that reconciliation of independent information about an entity can be used in evaluating the entity{\textquoteright}s trustworthiness.",

keywords = "trust, ontology, trustworthiness, OWL, eIDAS, EUDI, Identity Wallet, Knowledge Graph, GLEIF",

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AU - Sel, Marc

AU - Reefat, Hasin Ishraq

AU - Karimi, Naghmeh

AU - Mersinas, Konstantinos

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N2 - This paper presents an analysis of how reconciliation of public and private data can be used to evaluate the trustworthiness of an entity. The TE (Trustworthy Ecosystem) knowledge graph is used as a basis. We demonstrate how public and private data can be used to add instance data to a TE graph, and how a trustworthiness evaluation policy can be extended to make use of this data during evaluation. It is argued and demonstrated that reconciliation of independent information about an entity can be used in evaluating the entity’s trustworthiness.

AB - This paper presents an analysis of how reconciliation of public and private data can be used to evaluate the trustworthiness of an entity. The TE (Trustworthy Ecosystem) knowledge graph is used as a basis. We demonstrate how public and private data can be used to add instance data to a TE graph, and how a trustworthiness evaluation policy can be extended to make use of this data during evaluation. It is argued and demonstrated that reconciliation of independent information about an entity can be used in evaluating the entity’s trustworthiness.

KW - trust

KW - ontology

KW - trustworthiness

KW - OWL

KW - eIDAS

KW - EUDI

KW - Identity Wallet

KW - Knowledge Graph

KW - GLEIF

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DO - 10.1007/978-3-031-76714-2_9

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T3 - IFIP Advances in Information and Communication Technology

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BT - Trust Management XIV

ER -