Signals on the subway cut in and out; I had to refresh the document three times before it finally loaded. The more I read, the more awake I became—I realized I had previously been led astray by those analytical articles.
When everyone discusses Dusk’s privacy, it’s all Phoenix’s zero-knowledge proof scheme: things like notes, nullifiers, stealth addresses. It sounds pretty high-end. But almost nobody mentions the network layer. Dusk uses a broadcast protocol called Kadcast. At the bottom, it’s built on Kademlia’s structure—layered routing based on node distance. Messages aren’t blindly broadcast to a whole group like traditional gossip; instead, they’re forwarded step-by-step along paths where the “distance increases,” forming a cascading multicast tree. This design is intended for efficiency in the first place—the whitepaper cites paper data saying it can save a significant amount of bandwidth compared to gossip, and when blocks are produced quickly, it can also reduce the stale block rate. I don’t remember the exact numbers; anyway, those are measured in the papers, not Dusk’s own real-world tests.
What’s interesting is that this design also brings a side effect: because a message has to pass through several relay layers before spreading out, it’s much harder to work backward to figure out “where the message first originated.” But that’s completely different from Phoenix’s transaction privacy, which is propped up by cryptography. One relies on a mathematical proof; the other comes from ambiguity introduced by network topology—their strengths are worlds apart.
The most ridiculous part is that many popular science articles mix these two layers together, making it seem like Dusk is privacy-first from head to toe. In fact, that little bit of ambiguity at the network layer is at best a bonus. If you run into real professional traceability, it’s simply not enough. I nearly bought into that kind of vague explanation too. For example, when I saw someone saying Dusk’s message propagation privacy is strong, I automatically assumed the transaction privacy must also be great—turns out that’s not the case. Only after taking the two layers apart over these past few days did I finally figure it out.
Now whenever I see a privacy project, I’ll always ask one question first: Is this privacy achieved through cryptography, or through network structure? The strength is completely different.
When you do technical analysis, have you also fallen into the trap of mixing “network-layer characteristics” with “application-layer privacy”? Share in the comments. #dusk $DUSK @Dusk
When everyone discusses Dusk’s privacy, it’s all Phoenix’s zero-knowledge proof scheme: things like notes, nullifiers, stealth addresses. It sounds pretty high-end. But almost nobody mentions the network layer. Dusk uses a broadcast protocol called Kadcast. At the bottom, it’s built on Kademlia’s structure—layered routing based on node distance. Messages aren’t blindly broadcast to a whole group like traditional gossip; instead, they’re forwarded step-by-step along paths where the “distance increases,” forming a cascading multicast tree. This design is intended for efficiency in the first place—the whitepaper cites paper data saying it can save a significant amount of bandwidth compared to gossip, and when blocks are produced quickly, it can also reduce the stale block rate. I don’t remember the exact numbers; anyway, those are measured in the papers, not Dusk’s own real-world tests.
What’s interesting is that this design also brings a side effect: because a message has to pass through several relay layers before spreading out, it’s much harder to work backward to figure out “where the message first originated.” But that’s completely different from Phoenix’s transaction privacy, which is propped up by cryptography. One relies on a mathematical proof; the other comes from ambiguity introduced by network topology—their strengths are worlds apart.
The most ridiculous part is that many popular science articles mix these two layers together, making it seem like Dusk is privacy-first from head to toe. In fact, that little bit of ambiguity at the network layer is at best a bonus. If you run into real professional traceability, it’s simply not enough. I nearly bought into that kind of vague explanation too. For example, when I saw someone saying Dusk’s message propagation privacy is strong, I automatically assumed the transaction privacy must also be great—turns out that’s not the case. Only after taking the two layers apart over these past few days did I finally figure it out.
Now whenever I see a privacy project, I’ll always ask one question first: Is this privacy achieved through cryptography, or through network structure? The strength is completely different.
When you do technical analysis, have you also fallen into the trap of mixing “network-layer characteristics” with “application-layer privacy”? Share in the comments. #dusk $DUSK @Dusk