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CASCO

The dynamic ICO evaluation platform

CASCO - Complete Assessment of Smart contracts and Coin Offers

Obiettivo principale dell’operazione: Rafforzamento del sistema innovativo regionale e nazionale
DESCRIZIONE: Gli obiettivi del progetto sono: realizzare la prima piattaforma a livello mondiale per l’analisi della sicurezza intrinseca degli SC e per il monitoraggio e l’analisi di tutti i dati riconducibili ai Token registrati nelle principali blockchain, segnalando tempestivamente vulnerabilità riscontrate o anomalie nelle transazioni delle criptomonete. Contribuire attivamente al raggiungimento degli obiettivi generali dettati dalla S3 della Regione Sardegna, attraverso l’AdS ICT, l’integrazione e l’analisi dei Big Data raccolti sulle transazioni delle ICO.

CODICE PROGETTO: 2014IT16RFOP015
IMPORTO TOTALE DEL PROGETTO:  194.800,00 €
IMPORTO FINANZIATO:  137.403,70 €
CONTATTO: [email protected] | www.sardegnaprogrammazione.it

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01. CROWDFUNDING THROUGH CRYPTOCURRENCIES

The CASCO – Complete Assessment of Smart Contracts and Coin Offers project aims to create a dynamic ICO (Initial Coin Offerings) evaluation platform, that is, transactions carried out in crowdfunding using cryptocurrencies. The project, financed by the Regione Autonoma della Sardegna, was launched by FlossLab in 2018.

02. FOR INCREASINGLY AUTOMATED ANALYSES

The platform integrates the analysis of the intrinsic security of Smart Contracts (Ethereum and others), the monitoring and analysis of all the data attributable to the Tokens registered in the main Blockchains - promptly reporting the vulnerabilities found or any anomalies in the cryptocurrency transactions – along with those available on ICO presentation sites.

An ambitious project, which uses the most modern Data Mining techniques for:

  • finding large amounts of information on websites
  • analysing the relative software projects
  • analysing transactions on heterogeneous Tokens

The above is carried out by applying Machine Learning and Deep Learning techniques to automate data analysis as much as possible while highlighting anomalous behaviour.

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