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Privacy-preserving Data Fabric with Attribute-based Authentication and Access control (DF3A) | ||
| Journal of Algorithms and Computation | ||
| دوره 56، شماره 2، اسفند 2024 اصل مقاله (1.78 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/jac.2025.383921.1217 | ||
| نویسندگان | ||
| Sadra Fathenojavan1؛ Ali Moeini* 2؛ Ali Kamandi2 | ||
| 1Department of Engineering Science, University of Tehran | ||
| 2Department of Engineering Science, University of Tehran, Tehran, Iran | ||
| چکیده | ||
| A data fabric architecture ensures that different types of data can be quickly and easily integrated, accessed, transformed, and managed. All users involved with data fabric technology, directly or indirectly, have access to appropriate information in real-time, from the correct location and in the proper manner. As data storage and access have become increasingly common, there are growing concerns about data security. In this paper, we present a new and more efficient data fabric architecture for providing secure communication between the data store and the customer, utilizing Shamir's Secret Sharing (SSS) and secure Attribute-Based Encryption (ABE). We call this architecture Data Fabric equipped with Attribute-Based Authentication and Access Control (DFAAA). It offers security features such as perfect forward secrecy, untraceability, anonymity, mutual authentication, and availability. We verify these features using both informal and formal techniques. The results demonstrate that our architecture not only provides greater security compared to other architecture. | ||
| کلیدواژه‌ها | ||
| Data Fabric؛ Elliptic curve cryptography؛ Attribute Based Authentication؛ Anonymity؛ Real-or-Random | ||
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آمار تعداد مشاهده مقاله: 71 تعداد دریافت فایل اصل مقاله: 149 |
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