network privacy and mixnet §
research §
- Continuing the research on the effects of wealth concentration within Ouroboros Crypsinous - more precisely fixing some of the code and running simulations. The results and reports will continue to be provided in the Notion doc.
- Also, doing additional research into the Darkfi’s Crypsinous implementation (and why they are striving away from it)
- Mixnet specification is done, currently in review - once additional comments have been added, will provide new updates
- There have been some slight improvements in the Crypsinous over Mixnet document - not too major
- Compiled a high-level overview of the Ouroboros family
- Studying byzantine gossip and swarm consensus as part of the effort of solving the tagging attack problem (as alternatives to random subsampling and reliable broadcast) - some of the ideas involve the use of gradecast over byzantine gossip, but providing more details in the following week.
development §
testnet §
development §
private PoS §
research §
- Normalize stake for lottery - we have a proof of convergence to expected fixed point and stability conditions for that fixed point: Analysis Summary
- We’ve run simulations of the process and they confirm the stability conditions and convergence derived analytically (above)
- There is still work to be done in terms of slots observation to understand a good measurement of leader rate as well as some additional confirmation of the analysis
- Analysis of stake de-anonymization (details are [here](https://www.overleaf.com/read/xvgmfchdhgzh#acd15d](https://www.overleaf.com/read/xvgmfchdhgzh#acd15d ”https://www.overleaf.com/read/xvgmfchdhgzh#acd15d) and here): and here)
- Used the lower bound (LB), asymptotic estimate (AE) and upper bound (UB) on the probability of stake greater than some threshold (“confidence”), within a given “accuracy”, to estimate the number of layers in the mixnet.
- The UB (on the number of layers) is loose. The AE (for the number of layers) is close to the LB (on the number of layers), suggesting that LB is closer to true values (AE is in very good agreement with simulations). However, AE is only available for “confidence” higher than 0.6 and some “accuracies”
- For the currently used lottery function, derived the maximum likelihood estimator of relative stake. The latter can be used by an adversary to infer the relative stake of a node
- Analysis of fraction of compromised paths is currently in progress and more details will be provided in the following weeks
data availability §
research §
development §
- The new read/write DA API is still in progress - there are conversations ongoing which can be seen in the draft PR
miscellaneous §
- The architecture whitepaper is awaiting feedback and expected to be finalized in the first week of 2024 - the paper can be found on Discord