Muller, S. (2018). Risk Monitoring and Intrusion Detection for Industrial Control Systems [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/36171 |
Muller, S., Lancrenon, J., Harpes, C., Le Traon, Y., Gombault, S., & Bonnin, J.-M. (2018). A training-resistant anomaly detection system. Computers and Security, 76, 1-11. doi:10.1016/j.cose.2018.02.015 Peer Reviewed verified by ORBi |
Muller, S., Harpes, C., & Muller, C. (2017). Fast and optimal countermeasure selection for attack defence trees. Lecture Notes in Computer Science, 10224 LNCS, 53-65. doi:10.1007/978-3-319-57858-3_5 Peer reviewed |
Muller, S., Harpes, C., Le Traon, Y., Gombault, S., & Bonnin, J.-M. (2017). Efficiently computing the likelihoods of cyclically interdependent risk scenarios. Computers and Security, 64, 59-68. doi:10.1016/j.cose.2016.09.008 Peer Reviewed verified by ORBi |
Muller, S., Harpes, C., Le Traon, Y., Gombault, S., Bonnin, J.-M., & Hoffmann, P. (2016). Dynamic Risk Analyses and Dependency-Aware Root Cause Model for Critical Infrastructures. In International Conference on Critical Information Infrastructures Security (pp. 163-175). Springer International Publishing. doi:10.1007/978-3-319-71368-7_14 Peer reviewed |