TY - GEN
T1 - Volume-Hiding Forward and Backward Private Dynamic Searchable Symmetric Encryption for Conjunctive Queries
AU - Zuo, Cong
AU - Hu, Manyue
AU - Fan, Qing
AU - Sun, Shi Feng
AU - Pieprzyk, Josef
AU - Wang, Huaxiong
AU - Zhu, Liehuang
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
PY - 2026
Y1 - 2026
N2 - Searchable symmetric encryption for conjunctive queries allows for locating encrypted files that contain multiple keywords while safeguarding query privacy. The update capability of dynamic searchable symmetric encryption (DSSE) for conjunctive queries further enhances its applicability in real-world scenarios. Unfortunately, leakage-abuse attacks and volumetric-injection attacks (Zhang et al., USENIX Security 2023) demonstrate update information can be leveraged to compromise query privacy. Although many DSSE schemes are proposed to resist existing attacks, none support conjunctive queries with volume-hiding, forward and backward privacy. To address this, we first present a scalable bitmap index and refines security definitions to support conjunctive queries. Then we introduce two new schemes with volume-hiding, forward and backward private DSSE for conjunctive queries: VFBDSSE-CQ and SVFBDSSE-CQ. VFBDSSE-CQ offers fast updates for frequently changing data, while SVFBDSSE-CQ lowers client storage at the cost of slower updates, fitting large keyword datasets. Both schemes are proven to meet volume-hiding, forward and backward privacy. Finally, experimental results demonstrate that VFBDSSE-CQ achieves up to 200× faster performance on Enron Email and 600× faster on Chicago Crime, while SVFBDSSE-CQ achieves up to 200× and 3000× faster performance, compared to ODXT (Patranabis et al., NDSS 2021).
AB - Searchable symmetric encryption for conjunctive queries allows for locating encrypted files that contain multiple keywords while safeguarding query privacy. The update capability of dynamic searchable symmetric encryption (DSSE) for conjunctive queries further enhances its applicability in real-world scenarios. Unfortunately, leakage-abuse attacks and volumetric-injection attacks (Zhang et al., USENIX Security 2023) demonstrate update information can be leveraged to compromise query privacy. Although many DSSE schemes are proposed to resist existing attacks, none support conjunctive queries with volume-hiding, forward and backward privacy. To address this, we first present a scalable bitmap index and refines security definitions to support conjunctive queries. Then we introduce two new schemes with volume-hiding, forward and backward private DSSE for conjunctive queries: VFBDSSE-CQ and SVFBDSSE-CQ. VFBDSSE-CQ offers fast updates for frequently changing data, while SVFBDSSE-CQ lowers client storage at the cost of slower updates, fitting large keyword datasets. Both schemes are proven to meet volume-hiding, forward and backward privacy. Finally, experimental results demonstrate that VFBDSSE-CQ achieves up to 200× faster performance on Enron Email and 600× faster on Chicago Crime, while SVFBDSSE-CQ achieves up to 200× and 3000× faster performance, compared to ODXT (Patranabis et al., NDSS 2021).
KW - Conjunctive queries
KW - Dynamic searchable symmetric encryption
KW - Forward and backward privacy
KW - Volume-hiding
UR - https://www.scopus.com/pages/publications/105039862268
U2 - 10.1007/978-3-032-21177-4_1
DO - 10.1007/978-3-032-21177-4_1
M3 - Conference contribution
AN - SCOPUS:105039862268
SN - 9783032211767
T3 - Communications in Computer and Information Science
SP - 1
EP - 24
BT - Emerging Information Security and Applications - 6th International conference, EISA 2025, Proceedings
A2 - Li, Wenjuan
A2 - Katsikas, Sokratis
A2 - Shao, Jun
PB - Springer Science and Business Media Deutschland GmbH
T2 - 6th International Conference on Emerging Information Security and Applications, EISA 2025
Y2 - 12 December 2025 through 13 December 2025
ER -