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1
Towards Evaluation of NIDSs in Adversarial Setting:
, In:
Proceedings of the 3rd ACM CoNEXT Workshop on Big DAta, Machine Learning and Artificial Intelligence for Data Communication Networks
,
Hashemi, Mohammad J.
;
Cusack, Greg
;
Keller, Eric
- p. 14-21 , 2019
Link:
https://dl.acm.org/doi/10.1145/3359992.3366642
RT T1 <cTitle>Proceedings of the 3rd ACM CoNEXT Workshop on Big DAta, Machine Learning and Artificial Intelligence for Data Communication Networks</cTitle>: T1 <Title>Towards Evaluation of NIDSs in Adversarial Setting</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3366642&Exemplar=1&LAN=DE A1 Hashemi, Mohammad J. A1 Cusack, Greg A1 Keller, Eric PB ACM YR 2019 K1 Adversarial Example K1 Anomaly Detection K1 Intrusion Detection Systems K1 Neural Networks K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Security and privacy K1 Intrusion/anomaly detection and malware mitigation K1 Intrusion detection systems SP 14 OP 21 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3359992.3366642 DO https://dl.acm.org/doi/10.1145/3359992.3366642 SF ELIB - SuUB Bremen
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