WAKU-RLN-RELAY: Privacy-Preserving Peer-to-Peer Economic Spam Protection
Sanaz Taheri-Boshrooyeh, Oskar Thor\'en, Barry Whitehat, Wei Jie Koh,, Onur Kilic, Kobi Gurkan

TL;DR
This paper introduces WAKU-RLN-RELAY, a privacy-preserving, spam-resistant gossip protocol for heterogeneous networks that incentivizes honest participation through cryptographic economic mechanisms.
Contribution
It presents a novel integration of cryptographic rate limiting and economic incentives into a gossip protocol, addressing privacy and performance issues of existing spam prevention methods.
Findings
Effective spam rate limiting with cryptographic guarantees
Incentive mechanisms reward honest peers and penalize spammers
Prototype implementation demonstrates practical feasibility
Abstract
In this paper, we propose WAKU-RLN-RELAY as a spam-protected gossip-based routing protocol that can run in heterogeneous networks. It features a privacy-preserving peer-to-peer (p2p) economic spam protection mechanism. WAKU-RLN-RELAY addresses the performance and privacy issues of the state-of-the-art p2p spam prevention techniques including peer scoring utilized by libp2p, and proof-of-work used by e.g., Whisper, the p2p messaging layer of Ethereum. In WAKU-RLN-RELAY, spam protection works by limiting the messaging rate of each network participant. Rate violation is disincentivized since it results in financial punishment where the punishment is cryptographically guaranteed. Peers who identify spammers are also rewarded. To enforce the rate limit, we adopt the suggested framework of Semaphore and its extended version, however, we modify that framework to properly address the unique…
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Taxonomy
TopicsPeer-to-Peer Network Technologies · Internet Traffic Analysis and Secure E-voting · Spam and Phishing Detection
