REINFORCING INTRUSION DETECTION SYSTEM USING MACHINE LEARNING

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dc.contributor.authorTadjine, Yahya
dc.contributor.authorDjebablah, Douaa
dc.contributor.authorTouil ,Ghassen
dc.date.accessioned2025-04-15T13:31:11Z
dc.date.available2025-04-15T13:31:11Z
dc.date.issued2022
dc.description.abstractThe increasing of security attacks and unauthorized intrusion have made network security one of the main subjects that should be considered in present data communication environment. Intrusion detection system is one of the suitable solutions to prevent and detect such attacks. This project aims to study for Machine learning techniques have been massively applied in an open source java project for network intrusion detection. The complete NSL-KDD dataset is used for training and testing data. Number of different experiments have been done. Java programming language is used for system implementation.
dc.identifier.urihttp://dspace.univ-skikda.dz:4000/handle/123456789/4570
dc.language.isoen
dc.publisherFaculty of Sciences
dc.titleREINFORCING INTRUSION DETECTION SYSTEM USING MACHINE LEARNING
dc.title.alternativeNetwork and Distributed Systems
dc.typeThesis
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