Two-input functional encryption for inner products from Bilinear maps

L. E.E. Kwangsu, Dong Hoon

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Functional encryption is a new paradigm of public-key encryption that allows a user to compute f (x) on encrypted data CT (x) with a private key SKf to finely control the revealed information. Multi-input functional encryption is an important extension of (single-input) functional encryption that allows the computation f (x1, . . ., xn) on multiple ciphertexts CT (x1), . . ., CT (xn) with a private key SKf . Although multi-input functional encryption has many interesting applications like running SQL queries on encrypted database and computation on encrypted stream, current candidates are not yet practical since many of them are built on indistinguishability obfuscation. To solve this unsatisfactory situation, we show that practical two-input functional encryption schemes for inner products can be built based on bilinear maps. In this paper, we first propose a two-input functional encryption scheme for inner products in composite-order bilinear groups and prove its selective IND-security under simple assumptions. Next, we propose a two-client functional encryption scheme for inner products where each ciphertext can be associated with a time period and prove its selective IND-security. Furthermore, we show that our two-input functional encryption schemes in composite-order bilinear groups can be converted into schemes in prime-order asymmetric bilinear groups by using the asymmetric property of asymmetric bilinear groups.

Original languageEnglish
Pages (from-to)915-918
Number of pages4
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE101A
Issue number6
DOIs
Publication statusPublished - 2018 Jun

Keywords

  • Bilinear maps
  • Functional encryption
  • Inner product
  • Multi-input functional encryption

ASJC Scopus subject areas

  • Signal Processing
  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering
  • Applied Mathematics

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