Post
Topic
Board Announcements (Altcoins)
Re: 🌟🚀 [Pre-ANN] AZULIK: adding privacy to DAG fee-less instant transactions 🌟🚀
by
AzulikProject
on 13/02/2018, 11:51:34 UTC
Very nice the linearisation is pretty obvious on your picture.
Can you give us more details how you handle DPOS and privacy, i mean if i go there:

https://raiblocks.net/page/representatives.php

I can see that the first representative has 21 millions coins, and it should even be possible to check all the people who delegate to this representative and check their balance. If you hide balance how DPOS will work ?

Indeed it's a good point, DPOS and privacy are two things which seem to be not compatible. Howerver we proposed this protocol that we are currently implementing :


https://image.noelshack.com/fichiers/2018/03/7/1516527377-azulikproject.jpg

it allows to have two layers a full anonymous coin, as well as a DPOS.


Image does not show anything useful at all and certainly does not show that you:

didn't chose the WIP approach, we used a recursive-ZK-Snakrs

There is an unspecified baseline and Approach 1 2 and 3 which are also completely unspecified. It is basically useless, lets be honest.

Perhaps you could indicate what each of the approaches and the baseline are. That would make it actually useful.



You are right indeed, it's just that the image is well know from our community as it's on the front page:

Quote
Here are the main results of our simulations. We will try to keep it clear and easy for everyone. Please feel free to ask for further details. The idea here is to test three approaches: ZK-Snarks (3), recursive-ZK-Snakrs (2) (linearisation), and WPI (1).

We should have provided more details, thank you for asking.

Thanks for the clarification.

So WPI is faster but I'm assuming you went with recursive zkSnarks because it is not too much slower and I'm guessing it has other advantages over WPI? Perhaps easier to implement?

Yes indeed, the Zk-snarks is a well known process, stable and easier to use and implement given the low difference with WPI we decided to use the linearisation.