Revisiting Leakage Abuse Attacks
Laura Blackstone, Seny Kamara, Tarik Moataz
摘要
Encrypted search algorithms (ESA) are cryptographic algorithms that support search over encrypted data. ESAs can be designed with various primitives including searchable/structured symmetric encryption (SSE/STE) and oblivious RAM (ORAM). Leakage abuse attacks attempt to recover client queries using knowledge of the client’s data. An important parameter for any leakage-abuse attack is its known-data rate; that is, the fraction of client data that must be known to the adversary. In this work, we revisit leakage abuse attacks in several ways. We first highlight some practical limitations and assumptions underlying the well-known IKK (Islam et al. NDSS ’12) and Count (Cash et al., CCS ’15) attacks. We then design four new leakage-abuse attacks that rely on much weaker assumptions. Three of these attacks are volumetric in the sense that they only exploit leakage related to document sizes. In particular, this means that they work not only on SSE/STE-based ESAs but also against ORAM-based solutions. We also introduce two volumetric injection attacks which use adversarial file additions to recover queries even from ORAM-based solutions. As far as we know, these are the first attacks of their kind. We evaluated all our attacks empirically and considered many experimental settings including different data collections, query selectivities, known-data rates, query space size and composition. From our experiments, we observed that the only setting that resulted in reasonable recovery rates under practical assumptions was the case of high-selectivity queries with a leakage profile that includes the response identity pattern (i.e., the identifiers of the matching documents) and the volume pattern (i.e., the size of the matching documents). All other attack scenarios either failed or relied on unrealistic assumptions (e.g., very high known-data rates). For this specific setting, we propose several suggestions and countermeasures including the use of schemes like PBS (Kamara et al, CRYPTO ’18), VLH/AVLH (Kamara and Moataz, Eurocrypt ’19), or the use of padding techniques like the ones recently proposed by Bost and Fouque (Bost and Fouque, IACR ePrint 2017/1060).
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper45
- Hiding the Access Pattern is Not Enough: Exploiting Search Pattern Leakage in Searchable EncryptionSimon Oya, Florian KerschbaumUSENIX Security 2021 · 被引用 152 次
- Response-Hiding Encrypted Ranges: Revisiting Security via Parametrized Leakage-Abuse AttacksEvgenios M. Kornaropoulos, Charalampos Papamanthou, Roberto TamassiaS&P 2021 · 被引用 56 次
- A Highly Accurate Query-Recovery Attack against Searchable Encryption using Non-Indexed DocumentsMarc Damie, Florian Hahn, Andreas PeterUSENIX Security 2021 · 被引用 46 次
- A Decentralized and Encrypted National Gun RegistrySeny Kamara, Tarik Moataz, Andrew Park, Lucy QinS&P 2021 · 被引用 33 次
- PrivateDrop: Practical Privacy-Preserving Authentication for Apple AirDropAlexander Heinrich, Matthias Hollick, Thomas Schneider, Milan Stute 等USENIX Security 2021 · 被引用 32 次
它引用的顶会 Paper10
- 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
- Forward and Backward Private Searchable Encryption from Constrained Cryptographic PrimitivesRaphaël Bost, Brice Minaud, Olga OhrimenkoCCS 2017 · 被引用 423 次
- Generic Attacks on Secure Outsourced DatabasesGeorgios Kellaris, George Kollios, Kobbi Nissim, Adam O'NeillCCS 2016 · 被引用 327 次
- Order-Revealing Encryption: New Constructions, Applications, and Lower BoundsKevin Lewi, David J. WuCCS 2016 · 被引用 200 次
- Improved Reconstruction Attacks on Encrypted Data Using Range Query LeakageMarie-Sarah Lacharité, Brice Minaud, Kenneth G. PatersonS&P 2018 · 被引用 183 次
相关 Paper
- High Recovery with Fewer Injections: Practical Binary Volumetric Injection Attacks against Dynamic Searchable EncryptionXianglong Zhang, Wei Wang, Peng Xu, Laurence T. Yang 等USENIX Security 2023
- Obfuscated Access and Search Patterns in Searchable EncryptionZhiwei Shang, Simon Oya, Andreas Peter, Florian KerschbaumNDSS 2021
- SEAL: Attack Mitigation for Encrypted Databases via Adjustable LeakageIoannis Demertzis, Dimitrios Papadopoulos, Charalampos Papamanthou, Saurabh ShintreUSENIX Security 2020
- Leakage-Abuse Attacks Against Forward and Backward Private Searchable Symmetric EncryptionLei Xu, Leqian Zheng, Chengzhi Xu, Xingliang Yuan 等CCS 2023 · 被引用 28 次
- LEAP: Leakage-Abuse Attack on Efficiently Deployable, Efficiently Searchable Encryption with Partially Known DatasetJianting Ning, Xinyi Huang, Geong Sen Poh, Jiaming Yuan 等CCS 2021 · 被引用 32 次
