GraphSense - Real-time Insight into Virtual Currency Ecosystems

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GraphSense Real-time Insight into Virtual Currency Ecosystems Bernhard Haslhofer, AIT - Austrian Institute of Technology Austrian Data Forum (ADF) Vienna, 2015-10-04

Transcript of GraphSense - Real-time Insight into Virtual Currency Ecosystems

Page 1: 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

Page 2: GraphSense - Real-time Insight into Virtual Currency Ecosystems
Page 3: GraphSense - Real-time Insight into Virtual Currency Ecosystems

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)

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Goals• Build algorithms and tools for gaining insight into

evolving virtual currency transaction graphs

• actor roles

• transaction patterns

• currency unit flows

• network topology

• anomalies

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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)

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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]