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Volume-Hiding Forward and Backward Private Dynamic Searchable Symmetric Encryption for Conjunctive Queries

  • Cong Zuo
  • , Manyue Hu
  • , Qing Fan*
  • , Shi Feng Sun
  • , Josef Pieprzyk
  • , Huaxiong Wang
  • , Liehuang Zhu
  • *此作品的通讯作者
  • Beijing Institute of Technology
  • North China Electric Power University
  • Shanghai Jiao Tong University
  • Institute of Computer Science of the Polish Academy of Sciences
  • CSIRO
  • Nanyang Technological University
  • Ltd.

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

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).

源语言英语
主期刊名Emerging Information Security and Applications - 6th International conference, EISA 2025, Proceedings
编辑Wenjuan Li, Sokratis Katsikas, Jun Shao
出版商Springer Science and Business Media Deutschland GmbH
1-24
页数24
ISBN(印刷版)9783032211767
DOI
出版状态已出版 - 2026
活动6th International Conference on Emerging Information Security and Applications, EISA 2025 - Hangzhou, 中国
期限: 12 12月 202513 12月 2025

出版系列

姓名Communications in Computer and Information Science
2897 CCIS
ISSN(印刷版)1865-0929
ISSN(电子版)1865-0937

会议

会议6th International Conference on Emerging Information Security and Applications, EISA 2025
国家/地区中国
Hangzhou
时期12/12/2513/12/25

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