Adversarial Communication Networks Modeling for Intrusion Detection Strengthened against Mimicry
Author:
Affiliation:
1. Indra, Digital Lab, Alcobendas, Madrid, Spain
2. Complutense University of Madrid, Madrid, Spain
Funder
Horizon 2020 Framework Programme
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3339252.3340335
Reference41 articles.
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2. (4) (2011) 221--241. 10.1016/j.cose.2010.12.004 D. Ariu R. Tronci and G. Giacinto. 2011. HMMPayl: An intrusion detection system based on hidden Markov models. Computers & Security 30
3. (4) (2011) 221--241. 10.1016/j.cose.2010.12.004
4. L.E. Bantis C.T. Nakas and B. Reiser. 2014. Construction of confidence regions in the ROC space after the estimation of the optimal Youden index-based cut-off point. Biometrics 70(1) (2014) 212--223. L.E. Bantis C.T. Nakas and B. Reiser. 2014. Construction of confidence regions in the ROC space after the estimation of the optimal Youden index-based cut-off point. Biometrics 70(1) (2014) 212--223.
5. Wild patterns: Ten years after the rise of adversarial machine learning
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