Obfuscated Access and Search Patterns in Searchable Encryption
Zhiwei Shang, Simon Oya, Andreas Peter, Florian Kerschbaum
摘要
Searchable Symmetric Encryption (SSE) allows a data owner to securely outsource its encrypted data to a cloud server while maintaining the ability to search over it and retrieve matched documents. Most existing SSE schemes leak which documents are accessed per query, i.e., the so-called access pattern, and thus are vulnerable to attacks that can recover the database or the queried keywords. Current techniques that fully hide access patterns, such as ORAM or PIR, suffer from heavy communication or computational costs, and are not designed with search capabilities in mind. Recently, Chen et al. (INFOCOM'18) proposed an obfuscation framework for SSE that protects the access pattern in a differentially private way with a reasonable utility cost. However, this scheme leaks the so-called search pattern, i.e., how many times a certain query is performed. This leakage makes the proposal vulnerable to certain database and query recovery attacks. In this paper, we propose OSSE (Obfuscated SSE), an SSE scheme that obfuscates the access pattern independently for each query performed. This in turn hides the search pattern and makes our scheme resistant against attacks that rely on this leakage. Under certain reasonable assumptions, our scheme has smaller communication overhead than ORAM-based SSE. Furthermore, our scheme works in a single communication round and requires very small constant client-side storage. Our empirical evaluation shows that OSSE is highly effective at protecting against different query recovery attacks while keeping a reasonable utility level. Our protocol provides significantly more protection than the proposal by Chen et al. against some state-of-the-art attacks, which demonstrates the importance of hiding search patterns in designing effective privacy-preserving SSE schemes.
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引用它的顶会 Paper16
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- Query Recovery from Easy to Hard: Jigsaw Attack against SSEHao Nie, Wei Wang, Peng Xu, Xianglong Zhang 等USENIX Security 2024 · 被引用 13 次
- MUSES: Efficient Multi-User Searchable Encrypted DatabaseTung Le, Rouzbeh Behnia, Jorge Guajardo, Thang HoangUSENIX Security 2024 · 被引用 11 次
它引用的顶会 Paper6
- All Your Queries Are Belong to Us: The Power of File-Injection Attacks on Searchable EncryptionYupeng Zhang, Jonathan Katz, Charalampos PapamanthouUSENIX Security 2016 · 被引用 512 次
- ∑oφoς: Forward Secure Searchable EncryptionRaphael BostCCS 2016 · 被引用 382 次
- The Shadow Nemesis: Inference Attacks on Efficiently Deployable, Efficiently Searchable EncryptionDavid Pouliot, Charles V. WrightCCS 2016 · 被引用 132 次
- Secure Search on Encrypted Data via Multi-Ring SketchAdi Akavia, Dan Feldman, Hayim ShaulCCS 2018 · 被引用 32 次
- SEAL: Attack Mitigation for Encrypted Databases via Adjustable LeakageIoannis Demertzis, Dimitrios Papadopoulos, Charalampos Papamanthou, Saurabh ShintreUSENIX Security 2020
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