Secure Computer Network: Strategies and Challengers in Big Data Era

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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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Detalles Bibliográficos
Autores principales: Barrionuevo, Mercedes, Lopresti, Mariela, Miranda, Natalia Carolina, Piccoli, Fabiana
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2018
Materias:
Ciencias Informáticas
computer network, network security, anomalies and attacks, big data, high performance computing, machine learning
Algorithms
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/70001
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-70001
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
computer network, network security, anomalies and attacks, big data, high performance computing, machine learning
Algorithms
spellingShingle Ciencias Informáticas
computer network, network security, anomalies and attacks, big data, high performance computing, machine learning
Algorithms
Barrionuevo, Mercedes
Lopresti, Mariela
Miranda, Natalia Carolina
Piccoli, Fabiana
Secure Computer Network: Strategies and Challengers in Big Data Era
topic_facet Ciencias Informáticas
computer network, network security, anomalies and attacks, big data, high performance computing, machine learning
Algorithms
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 traffic image processing. Finally, it is proposed as a challenge to resolve the anomalies detection using an unsupervised algorithm as Deep Learning.
format Objeto de conferencia
Objeto de conferencia
author Barrionuevo, Mercedes
Lopresti, Mariela
Miranda, Natalia Carolina
Piccoli, Fabiana
author_facet Barrionuevo, Mercedes
Lopresti, Mariela
Miranda, Natalia Carolina
Piccoli, 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/10915/70001
work_keys_str_mv AT barrionuevomercedes securecomputernetworkstrategiesandchallengersinbigdataera
AT loprestimariela securecomputernetworkstrategiesandchallengersinbigdataera
AT mirandanataliacarolina securecomputernetworkstrategiesandchallengersinbigdataera
AT piccolifabiana securecomputernetworkstrategiesandchallengersinbigdataera
bdutipo_str Repositorios
_version_ 1764820481981022208

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