Automated Information Leakage Detection: A New Method Combining Machine Learning and Hypothesis Testing with an Application to Side-channel Detection in Cryptographic Protocols

Pritha Gupta, Arunselvan Ramaswamy, Jan Peter Drees, Eyke Hüllermeier, Claudia Priesterjahn, Tibor Jager. Automated Information Leakage Detection: A New Method Combining Machine Learning and Hypothesis Testing with an Application to Side-channel Detection in Cryptographic Protocols. In Ana Paula Rocha 0001, Luc Steels, H. Jaap van den Herik, editors, Proceedings of the 14th International Conference on Agents and Artificial Intelligence, ICAART 2022, Volume 2, Online Streaming, February 3-5, 2022. pages 152-163, SCITEPRESS, 2022. [doi]

@inproceedings{GuptaRDHPJ22,
  title = {Automated Information Leakage Detection: A New Method Combining Machine Learning and Hypothesis Testing with an Application to Side-channel Detection in Cryptographic Protocols},
  author = {Pritha Gupta and Arunselvan Ramaswamy and Jan Peter Drees and Eyke Hüllermeier and Claudia Priesterjahn and Tibor Jager},
  year = {2022},
  doi = {10.5220/0010793000003116},
  url = {https://doi.org/10.5220/0010793000003116},
  researchr = {https://researchr.org/publication/GuptaRDHPJ22},
  cites = {0},
  citedby = {0},
  pages = {152-163},
  booktitle = {Proceedings of the 14th International Conference on Agents and Artificial Intelligence, ICAART 2022, Volume 2, Online Streaming, February 3-5, 2022},
  editor = {Ana Paula Rocha 0001 and Luc Steels and H. Jaap van den Herik},
  publisher = {SCITEPRESS},
  isbn = {978-989-758-547-0},
}