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1 Ergebnisse
1
DeepPower: Non-intrusive and Deep Learning-based Detection ..:
, In:
Proceedings of the 15th ACM Asia Conference on Computer and Communications Security
,
Ding, Fei
;
Li, Hongda
;
Luo, Feng
... - p. 33-46 , 2020
Link:
https://dl.acm.org/doi/10.1145/3320269.3384727
RT T1 <cTitle>Proceedings of the 15th ACM Asia Conference on Computer and Communications Security</cTitle>: T1 <Title>DeepPower: Non-intrusive and Deep Learning-based Detection of IoT Malware Using Power Side Channels</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3384727&Exemplar=1&LAN=DE A1 Ding, Fei A1 Li, Hongda A1 Luo, Feng A1 Hu, Hongxin A1 Cheng, Long A1 Xiao, Hai A1 Ge, Rong PB ACM YR 2020 K1 IoT K1 deep learning K1 malware detection K1 non-intrusive K1 power side channels K1 Security and privacy K1 Intrusion/anomaly detection and malware mitigation K1 Malware and its mitigation K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Computer systems organization K1 Embedded and cyber-physical systems K1 Embedded systems K1 Embedded hardware SP 33 OP 46 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3320269.3384727 DO https://dl.acm.org/doi/10.1145/3320269.3384727 SF ELIB - SuUB Bremen
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