RELATION OF FIREWALLS, MACHINE LEARNING METHODS AND HIGH-PERFORMANCE COMPUTING SYSTEMS
Erkan Ozhan, Erdem Ucar
Strony: 187-194
Opublikowano: 1 Jan 2013
Wyświetlenia: 243
Pobrania: 19
Streszczenie: In this study to ensure network security which is one of the important elements were investigated firewalls and consistency of written rules. For this purpose were sampled to investigate data mining, are explained firewalls operating principles, types and importance and then are indicated the scope and application of data mining science. As in the third section is highlighted the definition and the advantages of machine learning and are introduced Weka software from of machine learning tools. subject of study which is shown a sample analysis and application. For the analysis used in the firewall logs to big data volume and this data which data mining, machine learning and is studied importance of advantages to provide of interdisciplinary systematic connection.
Słowa kluczowe: firewalls, machine learning, data mining, parallel computing
Cytowanie artykułu: Erkan Ozhan, Erdem Ucar. RELATION OF FIREWALLS, MACHINE LEARNING METHODS AND HIGH-PERFORMANCE COMPUTING SYSTEMS. Journal of International Scientific Publications: Materials, Methods & Technologies 7, 187-194 (2013). https://www.scientific-publications.net/en/article/1003048/
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