This repository contains the code for DeepCASE by the authors of the IEEE S&P DeepCASE paper [PDF]. Please cite FlowPrint when using it in academic publications. This repository provides a stable artefact version of FlowPrint. For the most up-to-date version that receives updates, please see the Github repository.
van Ede, T., Aghakhani, H., Spahn, N., Bortolameotti, R., Cova, M., Continella, A., van Steen, M., Peter, A., Kruegel, C. & Vigna, G., 27 Jul 2022, 2022 IEEE Symposium on Security and Privacy (SP).IEEE, p. 522-53918 p. (Proceedings - IEEE Symposium on Security and Privacy; vol. 2022-May).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
van Ede, T. (Creator), Aghakhani, H. (Creator), Spahn, N. (Creator), Bortolameotti, R. (Creator), Cova, M. (Creator), Continella, A. (Creator), van Steen, M. (Creator), Peter, A. (Creator), Kruegel, C. (Creator), Vigna, G. (Creator) (26 Oct 2023). Code for DeepCASE: Semi-Supervised Contextual Analysis of Security Events. 4TU.Centre for Research Data. 10.4121/86c12ba1-7709-45c3-ade3-897552f98ca3