Song et al. "On the Infeasibility of Modeling Polymorphic Shellcode - Re-Thinking the Role of Learning in Intrusion Detection Systems." Machine Learning, 2010. doi:10.1007/S10994-009-5143-5
Markdown
[Song et al. "On the Infeasibility of Modeling Polymorphic Shellcode - Re-Thinking the Role of Learning in Intrusion Detection Systems." Machine Learning, 2010.](https://mlanthology.org/mlj/2010/song2010mlj-infeasibility/) doi:10.1007/S10994-009-5143-5
BibTeX
@article{song2010mlj-infeasibility,
title = {{On the Infeasibility of Modeling Polymorphic Shellcode - Re-Thinking the Role of Learning in Intrusion Detection Systems}},
author = {Song, Yingbo and Locasto, Michael E. and Stavrou, Angelos and Keromytis, Angelos D. and Stolfo, Salvatore J.},
journal = {Machine Learning},
year = {2010},
pages = {179-205},
doi = {10.1007/S10994-009-5143-5},
volume = {81},
url = {https://mlanthology.org/mlj/2010/song2010mlj-infeasibility/}
}