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Detection of masqueraders based on graph partitioning of file system access events

Masqueraders are users who take control of a machine and perform malicious activities such as data exfiltration or system misuse on behalf of legitimate users. In the literature, there are various approaches for detecting masqueraders by modeling legitimate users' behavior during their daily ta...

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Detalles Bibliográficos
Autores Principales: Toffalini F., Homoliak I., Harilal A., Binder A., Ochoa M.
Formato: Objeto de conferencia (Conference Object)
Lenguaje:Inglés (English)
Publicado: Institute of Electrical and Electronics Engineers Inc. 2018
Materias:
Behavioral research
File organization
Graphic methods
Network security
Real time systems
Anomaly detection
File systems
Graph Partitioning
Insider Threat
Markov cluster
Masquerader
Graph theory
File system
Graph partitioning
Insider threat
Acceso en línea:https://repository.urosario.edu.co/handle/10336/22859
https://doi.org/10.1109/SPW.2018.00037

Internet

https://repository.urosario.edu.co/handle/10336/22859
https://doi.org/10.1109/SPW.2018.00037

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