Addra: Metadata-private voice communication over fully untrusted infrastructure
Ishtiyaque Ahmad, Yuntian Yang, Divyakant Agrawal, Amr El Abbadi, Trinabh Gupta
摘要
Metadata from voice calls, such as the knowledge of who is communicating with whom, contains rich information about people's lives. Indeed, it is a prime target for powerful adversaries such as nation states. Existing systems that hide voice call metadata either require trusted intermediaries in the network or scale to only tens of users. This paper describes the design, implementation, and evaluation of Addra, the first system for voice communication that hides metadata over fully untrusted infrastructure and scales to tens of thousands of users. At a high level, Addra follows a template in which callers and callees deposit and retrieve messages from private mailboxes hosted at an untrusted server. However, Addra improves message latency in this architecture, which is a key performance metric for voice calls. First, it enables a caller to push a message to a callee in two hops, using a new way of assigning mailboxes to users that resembles how a post office assigns PO boxes to its customers. Second, it innovates on the underlying cryptographic machinery and constructs a new private information retrieval scheme, FastPIR, that reduces the time to process oblivious access requests for mailboxes. An evaluation of Addra on a cluster of 80 machines on AWS demonstrates that it can serve 32K users with a 99-th percentile message latency of 726 ms-a 7× improvement over a prior system for text messaging in the same threat model.
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引用它的顶会 Paper21
- SPIRAL: Fast, High-Rate Single-Server PIR via FHE CompositionSamir Jordan Menon, David J. WuS&P 2022 · 被引用 153 次
- YPIR: High-Throughput Single-Server PIR with Silent PreprocessingSamir Jordan Menon, David J. WuUSENIX Security 2024 · 被引用 34 次
- Groove: Flexible Metadata-Private MessagingLudovic Barman, Moshe Kol, David Lazar, Yossi Gilad 等OSDI 2022 · 被引用 17 次
- Batch PIR and Labeled PSI with Oblivious Ciphertext CompressionAlexander Bienstock, Sarvar Patel, Joon Young Seo, Kevin YeoUSENIX Security 2024 · 被引用 16 次
- Boomerang: Metadata-Private Messaging under Hardware TrustPeipei Jiang, Qian Wang, Jianhao Cheng, Cong Wang 等NSDI 2023 · 被引用 13 次
它引用的顶会 Paper6
- PIR with Compressed Queries and Amortized Query ProcessingSebastian Angel, Hao Chen, Kim Laine, Srinath T. V. SettyS&P 2018 · 被引用 353 次
- The Loopix Anonymity SystemAnia M. Piotrowska, Jamie Hayes, Tariq Elahi, Sebastian Meiser 等USENIX Security 2017 · 被引用 214 次
- Express: Lowering the Cost of Metadata-hiding Communication with Cryptographic PrivacySaba Eskandarian, Henry Corrigan-Gibbs, Matei Zaharia, Dan BonehUSENIX Security 2021 · 被引用 98 次
- XRD: Scalable Messaging System with Cryptographic PrivacyAlbert Kwon, David Lu, Srinivas DevadasNSDI 2020 · 被引用 87 次
- A Protocol for Privately Reporting Ad Impressions at ScaleMatthew Green, Watson Ladd, Ian MiersCCS 2016 · 被引用 78 次
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