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Arhuaco: Deep Learning and Isolation Based Security for Distributed High-Throughput Computing
Grid computing systems require innovative methods and tools to identify cybersecurity incidents and perform autonomous actions i.e. without administrator intervention. They also require methods to isolate and trace job payload activity in order to protect users and find evidence of malicious behavio...
Autores principales: | Gomez Ramirez, A., Lara, C., Betev, L., Bilanovic, D., Kebschull, U. |
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Lenguaje: | eng |
Publicado: |
2018
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2300286 |
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