ACMFNN: A Novel Design of an Augmented Convolutional Model for Intelligent Cross-Domain Malware Localization via Forensic Neural Networks

Rijvan Beg, R. K. Pateriya, Deepak Singh Tomar. ACMFNN: A Novel Design of an Augmented Convolutional Model for Intelligent Cross-Domain Malware Localization via Forensic Neural Networks. IEEE Access, 11:87945-87957, 2023. [doi]

@article{BegPT23,
  title = {ACMFNN: A Novel Design of an Augmented Convolutional Model for Intelligent Cross-Domain Malware Localization via Forensic Neural Networks},
  author = {Rijvan Beg and R. K. Pateriya and Deepak Singh Tomar},
  year = {2023},
  doi = {10.1109/ACCESS.2023.3305274},
  url = {https://doi.org/10.1109/ACCESS.2023.3305274},
  researchr = {https://researchr.org/publication/BegPT23},
  cites = {0},
  citedby = {0},
  journal = {IEEE Access},
  volume = {11},
  pages = {87945-87957},
}