Digital Signal Processing

   

Neurochain

Authors: Egger Mielberg

In a system where there are tons of information of different types it is always hard and frequently impossible to tie the effect to the cause. There is also a challenge to find relevant data quickly, especially in case of absence of classification algorithm that is capable of working with different fields of business and science in parallel. We propose a mechanism for building a network of associative chains that are decentralized to each other. The network allows its participants to build quickly an associative chain from “effect-tocause”. This feature of the network is extremely useful for identification of a scam activity. The mechanism is based on two technologies, “Smart Transactions” [1] and “Proof of Participation Protocol” [2].

Comments: 12 Pages.

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Submission history

[v1] 2019-04-03 11:02:18

Unique-IP document downloads: 12 times

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