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1 Ergebnisse
1
EVOLIoT : A Self-Supervised Contrastive Learning Framewo..:
, In:
Proceedings of the 2022 ACM on Asia Conference on Computer and Communications Security
,
Dib, Mirabelle
;
Torabi, Sadegh
;
Bou-Harb, Elias
.. - p. 452-466 , 2022
Link:
https://dl.acm.org/doi/10.1145/3488932.3517393
RT T1 <cTitle>Proceedings of the 2022 ACM on Asia Conference on Computer and Communications Security</cTitle>: T1 <Title>EVOLIoT : A Self-Supervised Contrastive Learning Framework for Detecting and Characterizing Evolving IoT Malware Variants</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3517393&Exemplar=1&LAN=DE A1 Dib, Mirabelle A1 Torabi, Sadegh A1 Bou-Harb, Elias A1 Bouguila, Nizar A1 Assi, Chadi PB ACM YR 2022 K1 concept drift K1 contrastive learning K1 iot malware classification K1 Security and privacy K1 Intrusion/anomaly detection and malware mitigation K1 Malware and its mitigation SP 452 OP 466 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3488932.3517393 DO https://dl.acm.org/doi/10.1145/3488932.3517393 SF ELIB - SuUB Bremen
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