Resumen

JANAMPA PATILLA, Hubner; HUAMANI SANTIAGO, Hayde Luisa  y  MENESES CONISLLA, Yudith. Snort Open Source as intrusion detection for network infrastructure security. Rev cuba cienc informat [online]. 2021, vol.15, n.3, pp. 55-73.  Epub 01-Sep-2021. ISSN 2227-1899.

Currently, computer attacks have been increasing, affecting different companies and organizations, in turn, it has caused intrusion detection systems to be required in the corporate network security scheme, this due to the fact that computer attacks are increasingly Elaborate and difficult to detect, a network intrusion detection system, improves the detection of malicious IP packets, monitors incoming and outgoing network traffic, identifies unauthorized use of computer systems networks. However, most SMEs do not have this security scheme for different reasons, among them and the most important, the cost of implementing an intrusion detection system. The objective of the research is to implement Snort Open Source, as an intrusion detection system for the security of the network infrastructure in free environments, applied to SMEs. To achieve the research objectives, the virtualization of the GNU / Linux Ubuntu operating system is used. Through virtual machines, the scenario is implemented to carry out the configuration and implementation of Snort Open Source as an intrusion detection system, and then define the filtering rules for its operation.

Palabras clave : Snort Open Source; intrusion detection system; pymes; computer attacks.

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