Intrusion Detection System Based On Flows Using Machine Learning Algorithms

Bibliographic Details
Main Author: Kakihata, E. M.
Publication Date: 2017
Other Authors: Sapia, H. M., Oikawa, R. T., Pereira, D. R., Papa, J. P. [UNESP], Alburquerque, V. H. C., Silva, F. A.
Format: Article
Language: por
Source: Repositório Institucional da UNESP
Download full: http://hdl.handle.net/11449/163405
Summary: 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.
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spelling Intrusion Detection System Based On Flows Using Machine Learning Algorithmsintrusion detection systemnetflowmachine learningThe 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.Univ Oeste Paulista Unoeste, Presidente Prudente, SP, BrazilUniv Estadual Paulista, UNESP, Comp Sci Dept, Bauru, SP, BrazilUniv Fortaleza Unifor, Appl Informat Grad Program, Fortaleza, Ceara, BrazilUniv Estadual Paulista, UNESP, Comp Sci Dept, Bauru, SP, BrazilIeee-inst Electrical Electronics Engineers IncUniv Oeste Paulista UnoesteUniversidade Estadual Paulista (Unesp)Univ Fortaleza UniforKakihata, E. M.Sapia, H. M.Oikawa, R. T.Pereira, D. R.Papa, J. P. [UNESP]Alburquerque, V. H. C.Silva, F. A.2018-11-26T17:41:53Z2018-11-26T17:41:53Z2017-10-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1988-1993application/pdfIeee Latin America Transactions. Piscataway: Ieee-inst Electrical Electronics Engineers Inc, v. 15, n. 10, p. 1988-1993, 2017.1548-0992http://hdl.handle.net/11449/163405WOS:000413336000025WOS000413336000025.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporIeee Latin America Transactions0,253info:eu-repo/semantics/openAccess2024-04-23T16:10:44Zoai:repositorio.unesp.br:11449/163405Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462024-04-23T16:10:44Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Intrusion Detection System Based On Flows Using Machine Learning Algorithms
title Intrusion Detection System Based On Flows Using Machine Learning Algorithms
spellingShingle Intrusion Detection System Based On Flows Using Machine Learning Algorithms
Kakihata, E. M.
intrusion detection system
netflow
machine learning
title_short Intrusion Detection System Based On Flows Using Machine Learning Algorithms
title_full Intrusion Detection System Based On Flows Using Machine Learning Algorithms
title_fullStr Intrusion Detection System Based On Flows Using Machine Learning Algorithms
title_full_unstemmed Intrusion Detection System Based On Flows Using Machine Learning Algorithms
title_sort Intrusion Detection System Based On Flows Using Machine Learning Algorithms
author Kakihata, E. M.
author_facet Kakihata, E. M.
Sapia, H. M.
Oikawa, R. T.
Pereira, D. R.
Papa, J. P. [UNESP]
Alburquerque, V. H. C.
Silva, F. A.
author_role author
author2 Sapia, H. M.
Oikawa, R. T.
Pereira, D. R.
Papa, J. P. [UNESP]
Alburquerque, V. H. C.
Silva, F. A.
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Univ Oeste Paulista Unoeste
Universidade Estadual Paulista (Unesp)
Univ Fortaleza Unifor
dc.contributor.author.fl_str_mv Kakihata, E. M.
Sapia, H. M.
Oikawa, R. T.
Pereira, D. R.
Papa, J. P. [UNESP]
Alburquerque, V. H. C.
Silva, F. A.
dc.subject.por.fl_str_mv intrusion detection system
netflow
machine learning
topic intrusion detection system
netflow
machine learning
description 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.
publishDate 2017
dc.date.none.fl_str_mv 2017-10-01
2018-11-26T17:41:53Z
2018-11-26T17:41:53Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Ieee Latin America Transactions. Piscataway: Ieee-inst Electrical Electronics Engineers Inc, v. 15, n. 10, p. 1988-1993, 2017.
1548-0992
http://hdl.handle.net/11449/163405
WOS:000413336000025
WOS000413336000025.pdf
identifier_str_mv Ieee Latin America Transactions. Piscataway: Ieee-inst Electrical Electronics Engineers Inc, v. 15, n. 10, p. 1988-1993, 2017.
1548-0992
WOS:000413336000025
WOS000413336000025.pdf
url http://hdl.handle.net/11449/163405
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv Ieee Latin America Transactions
0,253
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1988-1993
application/pdf
dc.publisher.none.fl_str_mv Ieee-inst Electrical Electronics Engineers Inc
publisher.none.fl_str_mv Ieee-inst Electrical Electronics Engineers Inc
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv repositoriounesp@unesp.br
_version_ 1834484101385551872

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