A novel machine learning approach to the detection of identity theft in social networks based on emulated attack instances and support vector machines

A novel machine learning approach to the detection of identity theft in social networks based on emulated attack instances and support vector machines. Villar-Rodriguez, E., Ser, J. D., Torre-Bastida, A. I., Bilbao, M. N., & Salcedo-Sanz, S. Concurr. Comput. Pract. Exp., 28(4):1385–1395, 2016.

Paper doi bibtex

@article{DBLP:journals/concurrency/Villar-Rodriguez16,
  author    = {Esther Villar{-}Rodriguez and
               Javier Del Ser and
               Ana I. Torre{-}Bastida and
               Miren Nekane Bilbao and
               Sancho Salcedo{-}Sanz},
  title     = {A novel machine learning approach to the detection of identity theft
               in social networks based on emulated attack instances and support
               vector machines},
  journal   = {Concurr. Comput. Pract. Exp.},
  volume    = {28},
  number    = {4},
  pages     = {1385--1395},
  year      = {2016},
  url       = {https://doi.org/10.1002/cpe.3633},
  doi       = {10.1002/cpe.3633},
  timestamp = {Mon, 02 Mar 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/concurrency/Villar-Rodriguez16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

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