COTI Research and Developers team
We completed some of our ongoing research and development on all fronts of the COTI roadmap over the last few weeks, and progress is translating into real results.
- We continued working on the User Types and Trust Score Update Algorithms (TSUAs). We have finalized all ITSA definitions and applied several machine learning modules. We also moved forward with our TSUAs algorithms and defined the algorithm for tracking trustworthy vs bad-acting participants in the network. In our AlphaNet, the modules will be used for consumers and merchants, whereas in our TestNet, Trust Scores will be included to track node behavior and to manage their reputation.
- We have finalized our Trust Score API, which will handle communication between the Trust Score Server, Full Nodes, and wallets. The first release of our ITSA + ML modules is now internally available.
- The first release of our Trust Score Node is developing rapidly, and we have finalized the first version that will support the TrustScore API. The current Trust Score Node consists of the following: double spending, mediation ruling, turnovers and merchant chargebacks.
- We have finished the second version of COTI’s Mediation System specifications. The mediation process and nodes are in our expedited development phase.
- Our research and development team is continuing work towards finalizing the first draft of the COTI base protocol. There has been a lot of progress in developing the following AlphaNet components:
1. Compose Hash Algorithm
We are researching if multiple hash algorithms can assist us in reducing collisions. For example, if concatenation on the hash will be better as it will necessitate simultaneous collisions on both hashes.
2.Public-Key (Signature)
We are currently researching the best algorithm to use for our public key signature.
3.Proof Of Work (PoW) Algorithm
We have started working on our DAG attachment algorithm, which combines the Trust Score and other variants to define the PoW required for validating a transaction. The idea is that transactions with a low Trust Score will require more PoW. A higher Trust Score will require less PoW because lower Trust Score participants are more prone to spam the network with invalid transactions. The complexity of generating the PoW is going to be controlled by the Cluster in a way that is based on node load.
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