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Decoding the Secrets of Machine Learning in Malware Classif..:
, In:
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security
,
Dambra, Savino
;
Han, Yufei
;
Aonzo, Simone
... - p. 60-74 , 2023
Link:
https://dl.acm.org/doi/10.1145/3576915.3616589
RT T1 <cTitle>Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security</cTitle>: T1 <Title>Decoding the Secrets of Machine Learning in Malware Classification: A Deep Dive into Datasets, Feature Extraction, and Model Performance</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3616589&Exemplar=1&LAN=DE A1 Dambra, Savino A1 Han, Yufei A1 Aonzo, Simone A1 Kotzias, Platon A1 Vitale, Antonino A1 Caballero, Juan A1 Balzarotti, Davide A1 Bilge, Leyla PB ACM YR 2023 K1 machine learning for malware K1 malware detection K1 malware family classification K1 Security and privacy K1 Intrusion/anomaly detection and malware mitigation K1 Malware and its mitigation SP 60 OP 74 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3576915.3616589 DO https://dl.acm.org/doi/10.1145/3576915.3616589 SF ELIB - SuUB Bremen
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