Identifying Vulnerable IoT Applications using Deep Learning

Identifying Vulnerable IoT Applications using Deep Learning. Naeem, H. & Alalfi, M. H. In Kontogiannis, K., Khomh, F., Chatzigeorgiou, A., Fokaefs, M., & Zhou, M., editors, 27th IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2020, London, ON, Canada, February 18-21, 2020, pages 582–586, 2020. IEEE.

Paper doi bibtex 5 downloads

@inproceedings{DBLP:conf/wcre/NaeemA20,
  author       = {Hajra Naeem and
                  Manar H. Alalfi},
  editor       = {Kostas Kontogiannis and
                  Foutse Khomh and
                  Alexander Chatzigeorgiou and
                  Marios{-}Eleftherios Fokaefs and
                  Minghui Zhou},
  title        = {Identifying Vulnerable IoT Applications using Deep Learning},
  booktitle    = {27th {IEEE} International Conference on Software Analysis, Evolution
                  and Reengineering, {SANER} 2020, London, ON, Canada, February 18-21,
                  2020},
  pages        = {582--586},
  publisher    = {{IEEE}},
  year         = {2020},
  url          = {https://doi.org/10.1109/SANER48275.2020.9054817},
  doi          = {10.1109/SANER48275.2020.9054817},
  timestamp    = {Thu, 16 Apr 2020 16:27:40 +0200},
  biburl       = {https://dblp.org/rec/conf/wcre/NaeemA20.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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