Enriching the Open Provenance Model for a Privacy-Aware Provenance Management

Year 2021, Issue: 29, 144 - 149, 01.12.2021

Dilek Yılmazer Demirel , Özgü Can

https://doi.org/10.31590/ejosat.1023420

Abstract

Today, the total amount of data that is generated, copied, and stored are increasing rapidly. Thereupon, the trustworthiness of the data source and the quality of data have significant importance for an effective data analysis. Therefore, it is critical to improve accountability for the quality of data. For this purpose, provenance information is used to provide the quality of data. Provenance information ensures the reliability and quality of data. Data provenance is a form of metadata to describe the life cycle of a data. Therefore, provenance information maintains the history of the data by describing how data are derived. The Open Provenance Model (OPM) aims to meet the requirements of a provenance model. For this purpose, OPM defines a core set of rules. Thus, OPM provides provenance interoperability. In this study, OPM is enhanced to provide a Privacy-Aware Provenance Management (PAPM) model. The goal of the PAPM model is to use provenance information in order to protect data from unwanted access and detect security violations. Therefore, PAPM uses provenance information to protect data privacy. Since the proposed PAPM model is domain-independent, it can be integrated into any interested domain to preserve privacy and ensure data security.

Keywords

Provenance, Open Provenance Model, Privacy, Data Security, Knowledge Engineering, Semantic Web.

Mahremiyet-Farkında Bir Köken Yönetimi için Açık Köken Modelinin Zenginleştirilmesi

Abstract

Günümüzde üretilen, kopyalanan ve depolanan toplam veri miktarı hızla artmaktadır. Bunun sonucu olarak, etkin bir veri analizi için veri kaynağının güvenilirliği ve verinin kalitesi büyük önem taşımaktadır. Bu nedenle, veri kalitesi için izlenebilirliği arttırmak çok önemlidir. Bu amaçla, veri kalitesini sağlamak için köken bilgisi kullanılmaktadır. Köken bilgisi, verilerin güvenilirliğini ve kalitesini sağlamaktadır. Veri kökeni, verinin yaşam döngüsünü tanımlayan bir meta veri biçimidir. Bu nedenle, köken bilgisi, verilerin nasıl türetildiğini açıklayarak verilerin geçmişini korumaktadır. Açık Köken Modeli (OPM), bir köken modelinin gereksinimlerini karşılamayı hedefklemektedir. Bu amaçla, OPM temel bir kurallar kümesi tanımlamaktadır. Böylelikle, OPM köken birlikte çalışabilirliğini sağlamaktadır. Bu çalışmada, Gizlilik-Farkında bir Köken Yönetimi (PAPM) modeli sağlamak için OPM genişletilmiştir. PAPM modelinin amacı, verileri istenmeyen erişimlerden korumak ve güvenlik ihlallerini tespit etmek için köken bilgisini kullanmaktır. Bu nedenle PAPM, veri mahremiyetini korumak için köken bilgisini kullanmaktadır. Önerilen PAPM modeli etki alanından bağımsız olduğundan, mahremiyeti korumak ve veri güvenliğini sağlamak için herhangi bir etki alanına entegre edilebilecektir.

Keywords

Köken, Açık Köken Modeli, Mahremiyet, Veri Güvenliği, Bilgi Mühendisliği, Anlamsal Web.

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