Spectrum: High-bandwidth Anonymous Broadcast
Zachary Newman, Sacha Servan-Schreiber, Srinivas Devadas
摘要
We present Spectrum, a high-bandwidth, metadata-private file broadcasting system. In Spectrum, a small number of broadcasters share a file with many subscribers via two or more non-colluding broadcast servers. Subscribers generate cover traffic by sending dummy files, hiding which users are broadcasters and which users are only consumers.
Spectrum optimizes for a setting with few broadcasters and many subscribers-as is common to many real-world applications-to drastically improve throughput over prior work. Malicious clients are prevented from disrupting broadcasts using a novel blind access control technique that allows servers to reject malformed requests. Spectrum also prevents deanonymization of broadcasters by malicious servers deviating from protocol. Our techniques for providing malicious security are applicable to other systems for anonymous broadcast and may be of independent interest.
We implement and evaluate Spectrum. Compared to the state-of-the-art in cryptographic anonymous communication systems, Spectrum's peak throughput is 4-120,000× faster (and commensurately cheaper) in a broadcast setting. Deployed on two commodity servers, Spectrum allows broadcasters to share 1 GB (two full-length 720p documentary movies) in 13h 20m with an anonymity set of 10,000 (for a total cost of about $6.84). These costs scale roughly linearly in the size of the file and total number of users, and Spectrum parallelizes trivially with more hardware.
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 Paper9
- Private Approximate Nearest Neighbor Search with Sublinear CommunicationSacha Servan-Schreiber, Simon Langowski, Srinivas DevadasS&P 2022 · 被引用 37 次
- Boomerang: Metadata-Private Messaging under Hardware TrustPeipei Jiang, Qian Wang, Jianhao Cheng, Cong Wang 等NSDI 2023 · 被引用 13 次
- Abuse Reporting for Metadata-Hiding Communication Based on Secret SharingSaba EskandarianUSENIX Security 2024 · 被引用 9 次
- Secure Vickrey Auctions for Online AdvertisingArchit Bhatnagar, Yunming Xiao, Ang Chen, Amrita Roy ChowdhuryNSDI 2026 · 被引用 1 次
- Trellis: Robust and Scalable Metadata-private Anonymous BroadcastSimon Langowski, Sacha Servan-Schreiber, Srinivas DevadasNDSS 2023
它引用的顶会 Paper11
- Deep Fingerprinting: Undermining Website Fingerprinting Defenses with Deep LearningPayap Sirinam, Mohsen Imani, Marc Juarez, Matthew WrightCCS 2018 · 被引用 632 次
- Function Secret Sharing: Improvements and ExtensionsElette Boyle, Niv Gilboa, Yuval IshaiCCS 2016 · 被引用 404 次
- The Loopix Anonymity SystemAnia M. Piotrowska, Jamie Hayes, Tariq Elahi, Sebastian Meiser 等USENIX Security 2017 · 被引用 214 次
- Lightweight Techniques for Private Heavy HittersDan Boneh, Elette Boyle, Henry Corrigan-Gibbs, Niv Gilboa 等S&P 2021 · 被引用 134 次
- Fairness in an Unfair World: Fair Multiparty Computation from Public Bulletin BoardsArka Rai Choudhuri, Matthew Green, Abhishek Jain, Gabriel Kaptchuk 等CCS 2017 · 被引用 130 次
相关 Paper
- Clarion: Anonymous Communication from Multiparty Shuffling ProtocolsSaba Eskandarian, Dan BonehNDSS 2022
- Blinder - Scalable, Robust Anonymous Committed BroadcastIttai Abraham, Benny Pinkas, Avishay YanaiCCS 2020 · 被引用 39 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
- Sparta: Practical Anonymity with Long-Term Resistance to Traffic AnalysisKyle Fredrickson, Ioannis Demertzis, James P. Hughes, Darrell D. E. LongS&P 2025
- Practical Anonymous Subscription with Revocation Based on Broadcast EncryptionXun Yi, Russell Paulet, Elisa Bertino, Fang-Yu RaoICDE 2020 · 被引用 3 次
