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1
A Novel Multi-source Fusion Model for Known and Unknown Att..:
, In:
2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE)
,
Wang, Qiwen
;
Jiang, Jianguo
;
Shi, Zhixin
... - p. 727-736 , 2018
Link:
https://doi.org/10.1109/TrustCom/BigDataSE.2018.00106
RT T1 <cTitle>2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE)</cTitle>: T1 <Title>A Novel Multi-source Fusion Model for Known and Unknown Attack Scenarios</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8455974&Exemplar=1&LAN=DE A1 Wang, Qiwen A1 Jiang, Jianguo A1 Shi, Zhixin A1 Wang, Wen A1 Lv, Bin A1 Qi, Biao A1 Yin, Qieli YR 2018 SN 2324-9013 K1 Ontologies K1 Security K1 Data models K1 Data mining K1 Semantics K1 Knowledge based systems K1 Data integration K1 Multi-source Fusion K1 Ontology K1 Attack Scenarios SP 727 OP 736 LK http://dx.doi.org/https://doi.org/10.1109/TrustCom/BigDataSE.2018.00106 DO https://doi.org/10.1109/TrustCom/BigDataSE.2018.00106 SF ELIB - SuUB Bremen
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