Journal of Computer Science and Technology (Dec 2018)

Secure Computer Network: Strategies and Challengers in Big Data Era

  • Mercedes Barrionuevo,
  • Mariela Lopresti,
  • Natalia Miranda,
  • Fabiana Piccoli

DOI
https://doi.org/10.24215/16666038.18.e28
Journal volume & issue
Vol. 18, no. 03
pp. e28 – e28

Abstract

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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 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.

Keywords