Mining Information on Bitcoin Network Data
| Title | Mining Information on Bitcoin Network Data |
| Publication Type | Conference Paper |
| Year of Publication | 2017 |
| Authors | Zhu, J., Liu, P., He, L. |
| Conference Name | 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) |
| ISBN Number | 978-1-5386-3066-2 |
| Keywords | bitcoin, bitcoin security, Blockchain data, data mining, Human Behavior, human factor, human factors, IP networks, Market research, network traffic, Online banking, pubcrawl, Scalability, Servers |
| Abstract | Bitcoin, one major virtual currency, attracts users' attention by its novel mode in recent years. With blockchain as its basic technique, Bitcoin possesses strong security features which anonymizes user's identity to protect their private information. However, some criminals utilize Bitcoin to do several illegal activities bringing in great security threat to the society. Therefore, it is necessary to get knowledge of the current trend of Bitcoin and make effort to de-anonymize. In this paper, we put forward and realize a system to analyze Bitcoin from two aspects: blockchain data and network traffic data. We resolve the blockchain data to analyze Bitcoin from the point of Bitcoin address while simulate Bitcoin P2P protocol to evaluate Bitcoin from the point of IP address. At last, with our system, we finish analyzing its current trends and tracing its transactions by putting some statistics on Bitcoin transactions and addresses, tracing the transaction flow and de-anonymizing some Bitcoin addresses to IPs. |
| URL | http://ieeexplore.ieee.org/document/8276874/ |
| DOI | 10.1109/iThings-GreenCom-CPSCom-SmartData.2017.153 |
| Citation Key | zhu_mining_2017 |