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RaDaR: A Real-Word Dataset for AI powered Run-time Detectio..:
, In:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management
,
Karapoola, Sareena
;
Singh, Nikhilesh
;
Rebeiro, Chester
. - p. 3222-3232 , 2022
Link:
https://dl.acm.org/doi/10.1145/3511808.3557121
RT T1 <cTitle>Proceedings of the 31st ACM International Conference on Information & Knowledge Management</cTitle>: T1 <Title>RaDaR: A Real-Word Dataset for AI powered Run-time Detection of Cyber-Attacks</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3557121&Exemplar=1&LAN=DE A1 Karapoola, Sareena A1 Singh, Nikhilesh A1 Rebeiro, Chester A1 V., Kamakoti PB ACM YR 2022 K1 artificial intelligence for cyber-security K1 datasets K1 malware analysis K1 run-time behavior K1 Security and privacy K1 Intrusion/anomaly detection and malware mitigation K1 Malware and its mitigation K1 Systems security K1 Operating systems security K1 Network security K1 Computing methodologies K1 Machine learning SP 3222 OP 3232 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3511808.3557121 DO https://dl.acm.org/doi/10.1145/3511808.3557121 SF ELIB - SuUB Bremen
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