CryptoDbSS Project

The next update for CryptoDbSS will introduce significant enhancements aimed to coming up interoperability between Ethereum and Introduce a new type of transaction for storage externad data reference bringing with it support for Federated Learning AI and data privacy. Key features of this update include: presentation of a new type of transaction new type of transaction relies on high extenal storage of data utilizing SHA (Secure Hash Algorithm) for reference it on the blockchain, using a protocol as IPFS , This will bring many practical uses, one focus of this will be the support Federated Learning AI. Interoperability with Ethereum This implementation will include a CryptoDbSS client configured through a Smart Contract on an Ethereum-based network with an end-point node. This setup will serve as a bridge between Ethereum and CryptoDbSS, enabling users to exchange funds across both network-chains seamlessly. Support for Federated Learning The update will al...

transactions structure the transactions in CryptoDbSS have the following format in their structure, each data is written in sequence and is represented by a byte string: Element Size Transaction Type ID 1 byte Issuing Address 64 bytes Amount of Issuing Address 8 bytes Receiving Address 64 bytes Amount of Receiving Address 8 bytes Transaction Number ID 2 bytes Feed 4 bytes Signature 64 bytes ID Blockchain 32 bytes SHA of Node Matchmin 32 bytes Block Header 32 bytes Total 311 bytes the total length of this is reduced by compression alg...

Matchmin      A fundamental aspect in the blockchain area, if not the most important, is the consensus of the network of participants. It constitutes the basis of what is permissive and what is not in the network, which must be taken into account for the correct verification of the data, and how to act accordingly following a logic and algorithm through a common agreement between the participants. The Matchmin scheme is the following: the network is made up of 2 types of participants, Validators and Clients , each node is identified with a unique ID that the rest of the participants know, this is a cryptographic public key which it itself derived before joining the network and who only knows and uses its private key . further to recognizing each other within the network, the key is used to sign and corroborate the data that is sent between nodes and certify the authenticity of the sender . If someone tried to falsify data in advance, they would not be able...