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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

A threat monitoring system for intelligent data analytics of network traffic

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Author(s):
Guimaraes, Lucas C. B. [1] ; Rebello, Gabriel Antonio F. [1] ; Camilo, Gustavo F. [1] ; de Souza, Lucas Airam C. [1] ; Duarte, Otto Carlos M. B. [1]
Total Authors: 5
Affiliation:
[1] Univ Fed Rio de Janeiro, Grp Teleinformat & Automacao, Rio De Janeiro - Brazil
Total Affiliations: 1
Document type: Journal article
Source: ANNALS OF TELECOMMUNICATIONS; OCT 2021.
Web of Science Citations: 0
Abstract

Security attacks have been increasingly common and cause great harm to people and organizations. Late detection of such attacks increases the possibility of irreparable damage, with high financial losses being a common occurrence. This article proposes TeMIA-NT (ThrEat Monitoring and Intelligent data Analytics of Network Traffic), a real-time flow analysis system that uses parallel flow processing. The main contributions of the TeMIA-NT are (i) the proposal of an architecture for real-time detection of network intrusions that supports high traffic rates, (ii) the use of the structured streaming library, and (iii) two modes of operation: offline and online. The offline operation mode allows evaluating the performance of multiple machine learning algorithms over a given dataset, including metrics such as accuracy and F1-score. The proposed system uses dataframes and the structured streaming engine in online mode, which allows detection of threats in real-time and a quick reaction to attacks. To prevent or minimize the damage caused by security attacks, TeMIA-NT achieves flow-processing rates that reach 50 GB/s. (AU)

FAPESP's process: 15/24485-9 - Future internet for smart cities
Grantee:Fabio Kon
Support type: Research Projects - Thematic Grants
FAPESP's process: 14/50937-1 - INCT 2014: on the Internet of the Future
Grantee:Fabio Kon
Support type: Research Projects - Thematic Grants
FAPESP's process: 18/23292-0 - ACCRUE-SFI project: advanced collaborative research infrastructure for secure future internet
Grantee:Otto Carlos Muniz Bandeira Duarte
Support type: Regular Research Grants