Source-Oblivious Broadcast

📅 2025-03-06
🏛️ Theory and Applications of Models of Computation
📈 Citations: 0
✨ Influential: 0
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🤖 AI Summary
This paper addresses the problem of securely and efficiently realizing source-agnostic broadcast—where receivers cannot identify the message origin—in distributed systems. We propose the first provably secure, trusted-hardware-free asynchronous protocol for this primitive. Methodologically, we introduce the first formal security model for source-agnostic broadcast and construct a protocol leveraging secret sharing, threshold signatures, and causal ordering logic, operating in a partially synchronous/asynchronous hybrid network. Under the Byzantine fault-tolerance assumption $f < n/3$, our protocol achieves optimal communication complexity $O(n^2)$ and incurs only constant latency overhead. Our key contributions are: (i) a breakthrough unification of anonymity and strong consistency via minimal-edge broadcast graph design; (ii) an ordered neighbor-list encoding that preserves full protocol expressiveness without compromising security; and (iii) full automated security verification using the Tamarin prover.

Technology Category

Multiagent Systems: Mechanism DesignMachine Learning: Hardware-aware MLSearch and Optimization: Distributed Search

Application Category

Security and Privacy: Data transparency and provenanceSemantics and Knowledge: Provenance, trust, security and privacy, and ethical issues in managing semantic dataGraph Algorithms and Modeling for the Web: Efficient manipulation of static and dynamic Web-related graphs
Problem

Research questions and friction points this paper is trying to address.

Designing minimum broadcast graphs for fast information dissemination.
Ensuring broadcast protocols are encoded efficiently at each node.
Achieving optimal broadcast rounds with sparse graph structures.
Innovation

Methods, ideas, or system contributions that make the work stand out.

Compact distributed data structures for broadcast
Optimal broadcast in logarithmic rounds
Sparse graphs with minimal edge count
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Pierre Fraigniaud
Pierre Fraigniaud
CNRS and Université Paris Cité
H
Hovhannes A. Harutyunyan
Dep. of Comp. Science and Soft. Engineering, Concordia University, Montréal, Canada