Titlebook: Cyber Security; 19th China Annual Co Wei Lu,Yuqing Zhang,Chao Li Conference proceedings‘‘‘‘‘‘‘‘ 2022 The Editor(s) (if applicable) and The

树胶

Anomaly Detection of E-commerce Econnoisseur Based on User BehaviorForest Model. It is found that the improved Isolation Forest model based on BiLSTM can further improve the detection ability. Practical case studies showed that this method has certain validity and reference for the detection of econnoisseur.

Pedagogy

教育学

Research on Bitcoin Anti-anonymity Technology Based on Behavior Vectors Mapping and Aligning Model. Experimental test shows that the proposed anti-anonymity technology is more accurate and has better practical effects. Furthermore, the technology suits for the anti-anonymity of other virtual currencies as well.

抚慰

harpsichord

Detecting Bitcoin Nodes by the Cyberspace Search Enginesachable nodes by the cyberspace search engines. Finally, this paper illustrates the de-anonymization of some Bitcoin nodes by the cyberspace search engines, which map some node’s IP addresses to real Bitcoin entities, such as Zeblockchain (a browser website), Microwallet (a wallet website) and Laurentia Pool (a non-profit pool website).

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