[Cryptography] Nym mixnet whitepaper for review

Harry Halpin harry at nymtech.net
Sun Feb 28 08:09:39 EST 2021

We’ve been working on a new anonymous communication network - a mixnet - that’s fully decentralized with a self-sustainable economic model. We'd like any reviews people have. Code is live on Github and running (https://nymtech.net/docs).

The paper is available at:


https://twitter.com/nymproject/status/1365340929469652992?s=20The main properties:

Generic. The Nym network is a general-purpose communication infrastructure that can be easily integrated with any networked applications.
Scalable: Can dynamically add more mix nodes to match increasing demand for routing privacy-enhanced traffic.
Incentivized: No dependency on government funding or non-profit industrial complex.
Decentralized. The Nym network has no trusted parties, centralized components, or single points of failure.
Permissionless. Anyone can become a mix node in the Nym network.

The Nym Network: The Next Generation of Privacy Infrastructure

Abstract. The Nym network ("Nym") is a decentralized and incentivized infrastructure to provision privacy to a broad range of message-based applications and services. The core component of Nym is a mixnet that protects network traffic metadata for applications, providing communication privacy superior to both VPNs and Tor against global adversaries that can watch the entire internet. Nodes in the mixnet are rewarded via a novel proof of mixing scheme that proves that mix nodes are providing a high quality of service. Rewards given by NYM tokens allow anyone to join the Nym network and enable a sustainable economic model for privacy. NYM tokens can be transformed into anonymous credentials that allow users to privately prove their "right to use" services in a decentralized and verifiable manner. The Nym network can serve as the foundation for a vast range of privacy-enhanced applications that defend the fundamental freedoms of people across the globe against traffic analysis by powerful adversaries.

Full paper at:


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