Multi-class Malware Detection via Deep Graph Convolutional Networks Using TF-IDF-Based Attributed Call Graphs

Irshad Khan, Young-Woo Kwon 0001. Multi-class Malware Detection via Deep Graph Convolutional Networks Using TF-IDF-Based Attributed Call Graphs. In Howon Kim 0001, Jonghee M. Youn, editors, Information Security Applications - 24th International Conference, WISA 2023, Jeju Island, South Korea, August 23-25, 2023, Revised Selected Papers. Volume 14402 of Lecture Notes in Computer Science, pages 188-200, Springer, 2023. [doi]

@inproceedings{KhanK23-6,
  title = {Multi-class Malware Detection via Deep Graph Convolutional Networks Using TF-IDF-Based Attributed Call Graphs},
  author = {Irshad Khan and Young-Woo Kwon 0001},
  year = {2023},
  doi = {10.1007/978-981-99-8024-6_15},
  url = {https://doi.org/10.1007/978-981-99-8024-6_15},
  researchr = {https://researchr.org/publication/KhanK23-6},
  cites = {0},
  citedby = {0},
  pages = {188-200},
  booktitle = {Information Security Applications - 24th International Conference, WISA 2023, Jeju Island, South Korea, August 23-25, 2023, Revised Selected Papers},
  editor = {Howon Kim 0001 and Jonghee M. Youn},
  volume = {14402},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-981-99-8024-6},
}