GraphSense - Real-time Insight into Virtual Currency Ecosystems
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Transcript of GraphSense - Real-time Insight into Virtual Currency Ecosystems
GraphSenseReal-time Insight into Virtual Currency Ecosystems
Bernhard Haslhofer, AIT - Austrian Institute of Technology Austrian Data Forum (ADF) Vienna, 2015-10-04
Bitcoin Ecosystem• A virtual currency based on a P2P network
• Instant transactions worldwide
• No central authorities and control
• collective transaction management
• collective money issuance
• Public ledger of all transactions (block chain)
Goals• Build algorithms and tools for gaining insight into
evolving virtual currency transaction graphs
• actor roles
• transaction patterns
• currency unit flows
• network topology
• anomalies
Approach
Scalable Anomaly Detection Algorithms
(WP3)
Cross Data SourceGraph Construction
(WP2)OpenData
DataStreaming
(WP1)
PrivateData
Large-Scale Distributed Data Processing Platform
Machine Learning andData Mining Libraries
Graph Analytics Frameworks
GraphSense Analytics Dashboard (WP 4)
Project Key Facts• Duration: 01.09.2015 - 30.08.2017 (24
months)
• Partners:
• AIT - Austrian Institute of Technology
• Braintribe IT Technologies GmbH
• WU Wien - Institute for Information Business
• Funding: FFG - IKT der Zukunft
• Contact: [email protected]