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GraphSense - Real-time Insight into Virtual Currency Ecosystems

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GraphSense - Real-time Insight into Virtual Currency Ecosystems

  1. 1. GraphSense
 Real-time Insight into Virtual Currency Ecosystems Bernhard Haslhofer, AIT - Austrian Institute of Technology Austrian Data Forum (ADF) Vienna, 2015-10-04
  2. 2. 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)
  3. 3. Goals • Build algorithms and tools for gaining insight into evolving virtual currency transaction graphs • actor roles • transaction patterns • currency unit flows • network topology • anomalies
  4. 4. Approach Scalable Anomaly Detection Algorithms (WP3) Cross Data Source Graph Construction (WP2) Open Data Data Streaming (WP1) Private Data Large-Scale Distributed Data Processing Platform Machine Learning and Data Mining Libraries Graph Analytics Frameworks GraphSense Analytics Dashboard (WP 4)
  5. 5. 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: bernhard.haslhofer@ait.ac.at

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