MACHINE LEARNING BASED SECURITY ANALYSIS: ALARM GENERATION AND THREAT FORECASTING

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dc.contributor.authorBozyiğit, Fatma
dc.contributor.authorTürksever, Okan
dc.contributor.authorTürksever, Ozan
dc.contributor.authorKılınç, Deniz
dc.date.accessioned2025-03-21T07:38:22Z
dc.date.available2025-03-21T07:38:22Z
dc.date.issued2020
dc.departmentİzmir Bakırçay Üniversitesi
dc.description.abstractLog files keep activity records of each process performed have an important place in terms of security. Systems that provide infrastructure for applications such as network security mainly work on log management. Recently, when the security mechanisms of popular applications are examined, it has been observed that they aim to strengthen their infrastructures with machine learning (ML) methods, but in some respects, they have shortcomings. In this study, we aim to develop an alarm and security reporting system using ML methods. Our study differs from the others since it considers five separate feature (IP reputation, web reputation, malware destination access, botnet) and includes them into ML model.
dc.description.sponsorshipAhmet Ali SÜZEN
dc.identifier.endpage53
dc.identifier.issn2687-2153
dc.identifier.issue1
dc.identifier.startpage47
dc.identifier.urihttps://hdl.handle.net/20.500.14034/2758
dc.identifier.volume2
dc.language.isoen
dc.publisherAhmet Ali SÜZEN
dc.relation.ispartofInternational Journal of Engineering and Innovative Research
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_DergiPark_20250319
dc.subjectLog analysis
dc.subjectsecurity management
dc.subjectalarm system
dc.subjectmachine learning
dc.titleMACHINE LEARNING BASED SECURITY ANALYSIS: ALARM GENERATION AND THREAT FORECASTING
dc.typeArticle

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