New $X$-Secure $T$-Private Information Retrieval Schemes via Rational Curves and Hermitian Curves
Yuan Gao, Weijun Fang, Jingke Xu, Jiejing Wen

TL;DR
This paper introduces new XSTPIR schemes using rational and Hermitian curves, leveraging an innovative basis for polynomial spaces to improve PIR rates over existing methods.
Contribution
It proposes a novel approach that enhances the utilization of rational points on algebraic curves, leading to superior XSTPIR schemes based on rational and Hermitian curves.
Findings
Hermitian-curve-based scheme achieves highest known PIR rates for large fields.
New schemes outperform previous constructions in specific parameter regimes.
Parameter comparisons confirm the efficiency of the proposed methods.
Abstract
-secure and -private information retrieval (XSTPIR) is a variant of private information retrieval where data security is guaranteed against collusion among up to servers and the user's retrieval privacy is guaranteed against collusion among up to servers. Recently, researchers have constructed XSTPIR schemes through the theory of algebraic geometry codes and algebraic curves, with the aim of obtaining XSTPIR schemes that have higher maximum PIR rates for fixed field size and (the number of servers is not restricted). The mainstream approach is to employ curves of higher genus that have more rational points, evolving from rational curves to elliptic curves to hyperelliptic curves and, most recently, to Hermitian curves. In this paper, we propose a different perspective: with the shared goal of constructing XSTPIR schemes with higher maximum PIR rates, we move…
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Taxonomy
TopicsCryptography and Data Security · Privacy-Preserving Technologies in Data · Cryptography and Residue Arithmetic
