Decentralized Multi-Authority Attribute-Based Inner-Product Functional Encryption: Noisy and Evasive Constructions from Lattices
Jiaqi Liu, Yan Wang, Fang-Wei Fu

TL;DR
This paper introduces new lattice-based multi-authority attribute-based functional encryption schemes for noisy inner-product computations, including a relaxed evasive variant, with security proofs and practical noise-tolerance features.
Contribution
It proposes novel lattice-based primitives for noisy and evasive inner-product functional encryption, extending prior work with approximate computation and relaxed security notions.
Findings
First lattice-based construction of noiseless MA-IPFE
Schemes support polynomial-size attribute policies
Secure under standard lattice assumptions in the random oracle model
Abstract
We study multi-authority attribute-based functional encryption for noisy inner-product functionality, and propose two new primitives: (1) multi-authority attribute-based (noisy) inner-product functional encryption (MA-AB(N)IPFE), which generalizes existing multi-authority attribute-based IPFE schemes by Agrawal et al. (TCC'21), by enabling approximate inner-product computation; and (2) multi-authority attribute-based evasive inner-product functional encryption (MA-evIPFE), a relaxed variant inspired by the evasive IPFE framework by Hsieh et al. (EUROCRYPT'24), shifting focus from ciphertext indistinguishability to a more relaxed pseudorandomness-based security notion. To support the above notions, we introduce two variants of lattice-based computational assumptions: evasive IPFE assumption and indistinguishability-based evasive IPFE assumption (IND-evIPFE). We present lattice-based…
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Taxonomy
TopicsCryptography and Data Security · Privacy-Preserving Technologies in Data · Access Control and Trust
