Intrusion Detection System Based On Flows Using Machine Learning Algorithms
Carregando...
Data
2017-10-01
Autores
Kakihata, E. M.
Sapia, H. M.
Oikawa, R. T.
Pereira, D. R.
Papa, J. P. [UNESP]
Alburquerque, V. H. C.
Silva, F. A.
Título da Revista
ISSN da Revista
Título de Volume
Editor
Ieee-inst Electrical Electronics Engineers Inc
Resumo
The 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.
Descrição
Palavras-chave
intrusion detection system, netflow, machine learning
Como citar
Ieee Latin America Transactions. Piscataway: Ieee-inst Electrical Electronics Engineers Inc, v. 15, n. 10, p. 1988-1993, 2017.