Human-autonomous devices for characteristic analysis of pompeii trap in American finance

  • Han He
  • Yuanyuan Hong
  • Li Yin
  • Weiwei LiuEmail author
Original Research


Effective prevention of traps in financial networks has become a focus of attention. Faced with the diversity of financial data and the complexity of financial traps, how to measure the risk value of investment behavior is very important. After analyzing the nature of risk, this paper puts forward an analysis of the characteristics of Pompeii trap in American finance based on human autonomous equipment. The feature analysis method based on human autonomous equipment is one of many risk measurement methods. On this basis, the information entropy risk function is established, and the validity of the model can be proved by experiments. The experimental results show that the model can help users avoid the so-called risk-free, high-yield, virtual investment projects, and avoid falling into the financial Ponzi scheme of borrowing new and repaying old.


Information entropy Pompeii trap Financial risk Risk measurement Humanized computing Human-autonomous devices 



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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Rongzhi College of Chongqing Technology and Business UniversityChongqingChina
  2. 2.School of Public Health and ManagementChongqing Medical UniversityChongqingChina

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