Produção Nacional
Intrusion Detection System Based On Flows Using Machine Learning Algorithms
2017; Institute of Electrical and Electronics Engineers; Volume: 15; Issue: 10 Linguagem: Inglês
10.1109/tla.2017.8071245
ISSN1548-0992
AutoresE.M. Kakihata, Helton Molina Sapia, Ronaldo Toshiaki Oikawa, Danillo Roberto Pereira, João Paulo Papa, V.H.C. Alburquerque, Flávio Augusto Ferreira Da Silva,
Tópico(s)Network Security and Intrusion Detection
ResumoThe use of technology by different types of devices generates a large flow of confidential and personal information.Referencing this situation, it is necessary to use computer security tools, such as Intrusion Detection Systems (IDS).This work presents an IDS that can perform the flow-based analysis (netflow).The first step of this research conducted an analysis on flows previously collected and properly detected three different types of attacks.In the second step, the flows were organized to be used in machine learning algorithms.
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