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L-IDS: A Multi-Layered Approach to Ransomware Detection in ..:
, In:
2024 IEEE 14th Annual Computing and Communication Workshop and Conference (CCWC)
,
Mofidi, Farhad
;
Hounsinou, Sena G
;
Bloom, Gedare
- p. 0387-0396 , 2024
Link:
https://doi.org/10.1109/CCWC60891.2024.10427870
RT T1 <cTitle>2024 IEEE 14th Annual Computing and Communication Workshop and Conference (CCWC)</cTitle>: T1 <Title>L-IDS: A Multi-Layered Approach to Ransomware Detection in IoT</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10427870&Exemplar=1&LAN=DE A1 Mofidi, Farhad A1 Hounsinou, Sena G A1 Bloom, Gedare YR 2024 K1 Machine learning algorithms K1 Intrusion detection K1 Nonhomogeneous media K1 Ransomware K1 Internet of Things K1 Security K1 Monitoring K1 Machine Learning K1 Hardware-assisted security K1 Trusted Execution Environment K1 Intrusion Detection System K1 IoT Ransomware SP 0387 OP 0396 LK http://dx.doi.org/https://doi.org/10.1109/CCWC60891.2024.10427870 DO https://doi.org/10.1109/CCWC60891.2024.10427870 SF ELIB - SuUB Bremen
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