PATRIoTA: A Similarity-based IoT Malware Detection Method Robust Against Adversarial Samples

József Sándor, Roland Nagy, Levente Buttyán. PATRIoTA: A Similarity-based IoT Malware Detection Method Robust Against Adversarial Samples. In Claudio A. Ardagna, Feras M. Awaysheh, Hongyi Bian, Carl K. Chang, Rong N. Chang, Flávia Coimbra Delicato, Nirmit Desai, Jing Fan, Geoffrey C. Fox, Andrzej Goscinski, Zhi Jin, Anna Kobusinska, Omer F. Rana, editors, IEEE International Conference on Edge Computing and Communications, EDGE 2023, Chicago, IL, USA, July 2-8, 2023. pages 344-353, IEEE, 2023. [doi]

@inproceedings{SandorNB23-0,
  title = {PATRIoTA: A Similarity-based IoT Malware Detection Method Robust Against Adversarial Samples},
  author = {József Sándor and Roland Nagy and Levente Buttyán},
  year = {2023},
  doi = {10.1109/EDGE60047.2023.00057},
  url = {https://doi.org/10.1109/EDGE60047.2023.00057},
  researchr = {https://researchr.org/publication/SandorNB23-0},
  cites = {0},
  citedby = {0},
  pages = {344-353},
  booktitle = {IEEE International Conference on Edge Computing and Communications, EDGE 2023, Chicago, IL, USA, July 2-8, 2023},
  editor = {Claudio A. Ardagna and Feras M. Awaysheh and Hongyi Bian and Carl K. Chang and Rong N. Chang and Flávia Coimbra Delicato and Nirmit Desai and Jing Fan and Geoffrey C. Fox and Andrzej Goscinski and Zhi Jin and Anna Kobusinska and Omer F. Rana},
  publisher = {IEEE},
  isbn = {979-8-3503-0483-1},
}