Secure Computer Network: Strategies and Challengers in Big Data Era
As computer networks have transformed in essential tools, their security has become a crucial problem for computer systems. Detecting unusual values from large volumes of information produced by network traffic has acquired huge interest in the network security area. Anomaly detection is a starting...
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| Autores principales: | , , , |
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| Formato: | Articulo |
| Lenguaje: | Inglés |
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2018
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| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/71686 |
| Aporte de: |
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I19-R120-10915-71686 |
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dspace |
| institution |
Universidad Nacional de La Plata |
| institution_str |
I-19 |
| repository_str |
R-120 |
| collection |
SEDICI (UNLP) |
| language |
Inglés |
| topic |
Ciencias Informáticas anomalies and attacks big data computer network high performance computing machine learnin network security anomalías y ataques aprendizaje de máquina computación de alto desempeño datos masivos redes de computadoras seguridad en redes |
| spellingShingle |
Ciencias Informáticas anomalies and attacks big data computer network high performance computing machine learnin network security anomalías y ataques aprendizaje de máquina computación de alto desempeño datos masivos redes de computadoras seguridad en redes Barrionuevo, Mercedes Lopresti, Mariela Miranda, Natalia Carolina Piccoli, María Fabiana Secure Computer Network: Strategies and Challengers in Big Data Era |
| topic_facet |
Ciencias Informáticas anomalies and attacks big data computer network high performance computing machine learnin network security anomalías y ataques aprendizaje de máquina computación de alto desempeño datos masivos redes de computadoras seguridad en redes |
| description |
As computer networks have transformed in essential tools, their security has become a crucial problem for computer systems. Detecting unusual values from large volumes of information produced by network traffic has acquired huge interest in the network security area. Anomaly detection is a starting point to prevent attacks, therefore it is important for all computer systems in a network have a system of detecting anomalous events in a time near their occurrence. Detecting these events can lead network administrators to identify system failures, take preventive actions and avoid a massive damage.
This work presents, first, how identify network traffic anomalies through applying parallel computing techniques and Graphical Processing Units in two algorithms, one of them a supervised classification algorithm and the other based in network traffic image processing. Finally, it is proposed as a challenge to resolve the anomalies detection using an unsupervised algorithm as Deep Learning. |
| format |
Articulo Articulo |
| author |
Barrionuevo, Mercedes Lopresti, Mariela Miranda, Natalia Carolina Piccoli, María Fabiana |
| author_facet |
Barrionuevo, Mercedes Lopresti, Mariela Miranda, Natalia Carolina Piccoli, María Fabiana |
| author_sort |
Barrionuevo, Mercedes |
| title |
Secure Computer Network: Strategies and Challengers in Big Data Era |
| title_short |
Secure Computer Network: Strategies and Challengers in Big Data Era |
| title_full |
Secure Computer Network: Strategies and Challengers in Big Data Era |
| title_fullStr |
Secure Computer Network: Strategies and Challengers in Big Data Era |
| title_full_unstemmed |
Secure Computer Network: Strategies and Challengers in Big Data Era |
| title_sort |
secure computer network: strategies and challengers in big data era |
| publishDate |
2018 |
| url |
http://sedici.unlp.edu.ar/handle/10915/71686 |
| work_keys_str_mv |
AT barrionuevomercedes securecomputernetworkstrategiesandchallengersinbigdataera AT loprestimariela securecomputernetworkstrategiesandchallengersinbigdataera AT mirandanataliacarolina securecomputernetworkstrategiesandchallengersinbigdataera AT piccolimariafabiana securecomputernetworkstrategiesandchallengersinbigdataera AT barrionuevomercedes seguridadenredesdecomputadorasestrategiasydesafiosenlaeradebigdata AT loprestimariela seguridadenredesdecomputadorasestrategiasydesafiosenlaeradebigdata AT mirandanataliacarolina seguridadenredesdecomputadorasestrategiasydesafiosenlaeradebigdata AT piccolimariafabiana seguridadenredesdecomputadorasestrategiasydesafiosenlaeradebigdata |
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Repositorios |
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