TY - GEN
T1 - LightPIR
T2 - 19th ACM Asia Conference on Computer and Communications Security, AsiaCCS 2024
AU - Xia, Han
AU - Wang, Mingsheng
N1 - Publisher Copyright:
© 2024 Copyright held by the owner/author(s).
PY - 2024/7/1
Y1 - 2024/7/1
N2 - We introduce the LightPIR family, a new series of single-server PIR protocols with reduced overhead in terms of storage, communication, and computation. The protocols rely on a new GSW-like homomorphic cryptosystem based on the Ring Learning with Rounding (RLWR) problem and several ciphertext conversion algorithms for matrix encoding. Our RLWR-based techniques offer considerable advantages across all evaluation metrics compared to the previous state-of-the-art, the Spiral family (S&P 2022), under various database configurations. On the server, the LightPIR family simultaneously achieves a 1.2−1.8× increase in the throughput and up to a 1.4× increase in the rate while reducing the storage requirements of public parameters by 1.6−5×. For the client, the LightPIR family eliminates the Gaussian noise sampling, resulting in an average 36% reduction in query encryption time and resilience against side-channel attacks. Meanwhile, communication efficiency between the client and server is also enhanced by a reduction of up to 3.8× in query size and up to 1.8× in response size. All the optimizations indicate that our constructions are more lightweight for both the client and the server, highlighting a new practical scenario where RLWR-based schemes can showcase their advantages.
AB - We introduce the LightPIR family, a new series of single-server PIR protocols with reduced overhead in terms of storage, communication, and computation. The protocols rely on a new GSW-like homomorphic cryptosystem based on the Ring Learning with Rounding (RLWR) problem and several ciphertext conversion algorithms for matrix encoding. Our RLWR-based techniques offer considerable advantages across all evaluation metrics compared to the previous state-of-the-art, the Spiral family (S&P 2022), under various database configurations. On the server, the LightPIR family simultaneously achieves a 1.2−1.8× increase in the throughput and up to a 1.4× increase in the rate while reducing the storage requirements of public parameters by 1.6−5×. For the client, the LightPIR family eliminates the Gaussian noise sampling, resulting in an average 36% reduction in query encryption time and resilience against side-channel attacks. Meanwhile, communication efficiency between the client and server is also enhanced by a reduction of up to 3.8× in query size and up to 1.8× in response size. All the optimizations indicate that our constructions are more lightweight for both the client and the server, highlighting a new practical scenario where RLWR-based schemes can showcase their advantages.
KW - Fully homomorphic encryption
KW - Private information retrieval
UR - https://www.scopus.com/pages/publications/85199250600
U2 - 10.1145/3634737.3661140
DO - 10.1145/3634737.3661140
M3 - Conference Proceeding
AN - SCOPUS:85199250600
T3 - ACM AsiaCCS 2024 - Proceedings of the 19th ACM Asia Conference on Computer and Communications Security
SP - 1059
EP - 1075
BT - ACM AsiaCCS 2024 - Proceedings of the 19th ACM Asia Conference on Computer and Communications Security
PB - Association for Computing Machinery, Inc
Y2 - 1 July 2024 through 5 July 2024
ER -