@article{1484678,
      recid = {1484678},
      author = {Wang, Cheng.},
      title = {Anti-fraud engineering for digital finance : behavioral  modeling paradigm /},
      publisher = {Springer,},
      address = {Singapore :},
      pages = {1 online resource},
      year = {2023},
      abstract = {This book offers an introduction to the topic of  anti-fraud in digital finance based on the behavioral  modeling paradigm. It deals with the insufficiency and  low-quality of behavior data and presents a unified  perspective to combine technology, scenarios, and data for  better anti-fraud performance. The goal of this book is to  provide a non-intrusive second security line, rather than  replaced with existing solutions, for anti-fraud in digital  finance. By studying common weaknesses in typical fields,  it can support the behavioral modeling paradigm across a  wide array of applications. It covers the latest  theoretical and experimental progress and offers important  information that is just as relevant for researchers as for  professionals.},
      url = {http://library.usi.edu/record/1484678},
      doi = {https://doi.org/10.1007/978-981-99-5257-1},
}