Pepper: High-bandwidth and Scalable Anonymous Broadcast with Cryptographic Privacy

Computer Science > Cryptography and Security [Submitted on 3 Jun 2026] Pepper: High-bandwidth and Scalable Anonymous Broadcast with Cryptographic Privacy Chenghao Li, Haoyuan Wang, Xianghang Mi We present Pepper, a high-bandwidth anonymous broadcast protocol that provides cryptographic sender anonymity against global adversaries. Pepper builds on a two-server DC-net architecture but introduces three key innovations: a self-contained anonymous registration subprotocol using verifiable distributed point functions, support for batch messaging via distributed multi-point functions, and a lightweight access control mechanism based on secret-shared proofs. Unlike prior systems, Pepper eliminates the need for external dialing services and allows each broadcaster to send multiple messages per epoch with a single audit, significantly improving throughput for large data transfers. Our implementation demonstrates that Pepper achieves millisecond-level registration audits, scales efficiently to thousands of channels, and delivers 1.2--20\times higher effective messaging rates than state-of-the-art alternatives. Furthermore, Pepper is designed for practical deployment, with natural compatibility for co-deployment alongside Tor and federated social networks. Comments: 28 pages, 8 figures, conference Subjects: Cryptography and Security (cs.CR) Cite as: arXiv:2606.04411 [cs.CR]   (or arXiv:2606.04411v1 [cs.CR] for this version)   https://doi.org/10.48550/arXiv.2606.04411 Focus to learn more Submission history From: Chenghao Li [view email] [v1] Wed, 3 Jun 2026 03:38:34 UTC (250 KB) Access Paper: HTML (experimental) view license Current browse context: cs.CR < prev   |   next > new | recent | 2026-06 Change to browse by: cs References & Citations NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)