Published June 2024 | Version v1
Publication Open

FABESA: Fast (and Anonymous) Attribute-Based Encryption under Standard Assumptions

Description

DOI10.1145/3658644.3670321 

 

ABSTRACT

Attribute-Based Encryption (ABE) provides fine-grained access control to encrypted data and finds applications in various domains. The practicality of ABE schemes hinges on the balance between security and efficiency. The state-of-the-art adaptive secure ABE scheme, proven to be adaptively secure under standard assumptions (FAME, CCS'17), is less efficient compared to the fastest one (FABEO, CCS'22) which is only proven secure under the Generic Group Model (GGM). These traditional ABE schemes focus solely on message privacy. To address scenarios where attribute value information is also sensitive, Anonymous ABE (A2BE) ensures the privacy of both the message and attributes. However, most A2BE schemes suffer from intricate designs with low efficiency, and the security of the fastest key-policy A2BE (proposed in FEASE, USENIX'24) relies on the GGM. In this paper, we propose novel fast key-policy and ciphertext-policy ABE schemes that (1) support both AND and OR gates for access policies, (2) have no restriction on the size and type of policies or attributes, (3) achieve adaptive security under the standard DLIN assumption, and (4) only need 4 pairings for decryption. As our ABE constructions automatically provide ciphertext anonymity, we easily transform our ABE schemes to A2BE schemes while maintaining the same features and high-level efficiency. The implementation results show that all our schemes achieve the best efficiency comparing to other schemes with adaptive security proven under standard assumptions. Specifically, our ABE schemes perform better than FAME and are close to FABEO. Our key-policy A2BE scheme performs close to the one in FEASE and our ciphertext-policy A2BE outperforms the state-of-the-art (Cui et al., ProvSec'16).

 

AUTHORS

Long Meng, University of Surrey
Liqun Chen, University of Surrey
Yangguang Tian, University of Surrey
Mark Manulis, Universität der Bundeswehr München

Files

FABESA Fast (and Anonymous) Attribute-Based Encryption under Standard Assumption.pdf