Seminar ACR lab_VIASM

Time:

Venue/Location: Phòng A204, VIASM

Báo cáo viên: Duy Nguyen (Telecom Paris, France) 

Đề tài: Splitting Bilinear Groups: New Translations from Composite- to Prime-Order with Applications to Batch Arguments for NP 

Tóm tαΊ―t: Bilinear groups, also known as pairing groups, are a versatile tool that enables many efficient cryptographic constructions. Among bilinear groups, those with a composite order (𝑁 = 𝑝 βˆ™ π‘ž for two large, secret primes 𝑝, π‘ž) offer an additional algebraic structure which is advantageous in many applications. They are however dramatically less efficient than their prime-order counterparts, so multiple translation frameworks for constructions from composite- to prime-order groups have been introduced in the literature. 

Motivated by the recent construction of Batch Arguments for NP (BARGs) with linear-size CRS by Chen, Elias and Wu [Asiacrypt ’25], based on composite-order groups, we notice that these previous frameworks fail to transfer their scheme to the prime-order setting. In this work, we identify and close this gap by introducing a new translation framework based on a new abstraction called dual encodings. The crucial feature of these objects is a security property called indistinguishability that allows embedding hidden subgroups, emulating composite-order groups more faithfully and thus enabling more powerful translations. Then, we realize dual encodings using functional encryption for function-hiding inner products. Finally, we apply our framework to build the first BARG with linearsize CRS from prime-order groups, while preserving the (statistical) somewhere extractability of previous constructions. Our result represents a significant step toward practically efficient BARGs and showcases a surprising application of functional encryption which we find of independent interest. 

This is a joint work with David Balbás (ETH Zurich) and Dario Fiore (IMDEA Software Institute). 

Zoom: https://telecom-paris.zoom.us/j/96690797168?pwd=KQxWXenB8SUZ4FE3TgBSbGexcVKWm3.1