The methods of decreasing FP in Anomaly based Intrusion Prevent System by using of complex information about information system

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dc.contributor.authorKudin, Anton
dc.contributor.authorGrigorieva, Olga
dc.contributor.authorNosok, Svitlana
dc.date.accessioned2025-04-02T13:08:03Z
dc.date.available2025-04-02T13:08:03Z
dc.date.issued2024
dc.description.abstractThe main aim of this work is to optimize the efficiency of intrusion detection using complex analysis of indicators in information system by reducing the number of false positives, as well as the development of a universal technique for such optimization.Using laboratory environment with installed SIEMs Wazuh and Splunk we test the proposed optimization methods and proposed newly methodic for decreasing rating false/positive for some intrusion detecting systems.
dc.format.pagerangeP. 26-31
dc.identifier.citationKudin, A. The methods of decreasing FP in Anomaly based Intrusion Prevent System by using of complex information about information system / Anton Kudin, Olga Grigorieva, Svitlana Nosok // Theoretical and Applied Cybersecurity: scientific journal. – 2024. – Vol. 6, No. 1. – P. 26-31. – Bibliogr.: 33 ref.
dc.identifier.doihttps://doi.org/10.20535/tacs.2664-29132024.1.296412
dc.identifier.urihttps://ela.kpi.ua/handle/123456789/73217
dc.language.isoen
dc.publisherIgor Sikorsky Kyiv Polytechnic Institute
dc.publisher.placeKyiv
dc.relation.ispartofTheoretical and Applied Cybersecurity: scientific journal, Vol. 6, No. 1
dc.subjectFalse Positives Optimization
dc.subjectIntrusion Detection Systems (IDS)
dc.subjectAnomalies Detection
dc.subjectComprehensive Behavioral Analysis
dc.subjectSecurity Information And Event Management (SIEM)
dc.subjectSignatureless Intrusion Detection Methods
dc.subject.udc004.7.056.5
dc.titleThe methods of decreasing FP in Anomaly based Intrusion Prevent System by using of complex information about information system
dc.typeArticle

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Theoretical and Applied Cybersecurity: scientific journal, Vol. 6, No. 1