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1 Ergebnisse
1
Stealthy Cyber Anomaly Detection On Large Noisy Multi-mater..:
, In:
Proceedings of the 2022 ACM CCS Workshop on Additive Manufacturing (3D Printing) Security
,
Yoginath, Srikanth
;
Iannacone, Michael
;
Tansakul, Varisara
... - p. 25-38 , 2022
Link:
https://dl.acm.org/doi/10.1145/3560833.3563564
RT T1
Proceedings of the 2022 ACM CCS Workshop on Additive Manufacturing (3D Printing) Security
: T1
Stealthy Cyber Anomaly Detection On Large Noisy Multi-material 3D Printer Datasets Using Probabilistic Models
UL https://suche.suub.uni-bremen.de/peid=acm-3563564&Exemplar=1&LAN=DE A1 Yoginath, Srikanth A1 Iannacone, Michael A1 Tansakul, Varisara A1 Passian, Ali A1 Jordan, Rob A1 Asiamah, Joel A1 Ericson, M. Nance A1 Long, Gavin A1 Dawson, Joel A. PB ACM YR 2022 K1 additive layer manufacturing K1 anomaly detection K1 bayesian inference K1 cyber-physical system security K1 markov chain monte carlo K1 Security and privacy K1 Intrusion/anomaly detection and malware mitigation K1 Intrusion detection systems K1 Security in hardware K1 Hardware attacks and countermeasures K1 Side-channel analysis and countermeasures K1 Embedded systems security SP 25 OP 38 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3560833.3563564 DO https://dl.acm.org/doi/10.1145/3560833.3563564 SF ELIB - SuUB Bremen
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