A Machine Learning Based Approach to Detect Fault Injection Attacks in IoT Software Systems

Aakash Gangolli, Qusay H. Mahmoud, Akramul Azim. A Machine Learning Based Approach to Detect Fault Injection Attacks in IoT Software Systems. In IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022, Prague, Czech Republic, October 9-12, 2022. pages 2900-2905, IEEE, 2022. [doi]

@inproceedings{GangolliMA22,
  title = {A Machine Learning Based Approach to Detect Fault Injection Attacks in IoT Software Systems},
  author = {Aakash Gangolli and Qusay H. Mahmoud and Akramul Azim},
  year = {2022},
  doi = {10.1109/SMC53654.2022.9945117},
  url = {https://doi.org/10.1109/SMC53654.2022.9945117},
  researchr = {https://researchr.org/publication/GangolliMA22},
  cites = {0},
  citedby = {0},
  pages = {2900-2905},
  booktitle = {IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022, Prague, Czech Republic, October 9-12, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-5258-8},
}