Publication:
A Systematic Literature Review on Host-Based Intrusion Detection Systems

dc.authorscopusid57212210447
dc.authorscopusid15833929800
dc.authorscopusid56247050200
dc.contributor.authorSatılmış, H.
dc.contributor.authorAkleylek, S.
dc.contributor.authorTok, Z.Y.
dc.date.accessioned2025-12-11T00:33:06Z
dc.date.issued2024
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Satılmış] Hami, Department of Computer Engineering, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Akleylek] Sedat, Department of Computer Engineering, İstinye Üniversitesi, Istanbul, Turkey, Chair of Security and Theoretical Computer Science, Tartu Ülikool, Tartu, Tartumaa, Estonia; [Tok] Zaliha Yüce, ASELSAN A.Ş., Yenimahalle, Ankara, Turkeyen_US
dc.description.abstractWith the advancements in computer networks and systems, the number of security vulnerabilities and cyber attacks targeting/using these vulnerabilities continues to increase. Consequently, various intrusion detection systems (IDS) have been developed to detect cyber attacks and ensure information security. IDSs are categorized into two classes based on the data sources: Network-based intrusion detection system (NIDS) and host-based intrusion detection system (HIDS). In this systematic literature review (SLR), studies are examined that focus on HIDS or propose methods applicable to HIDS, as well as those related to IDSs that can be converted into HIDSs. The studies published between 2020 and 2023 are collected from widely used academic databases through various query statements. Filtering based on specific selection and elimination criteria is undergone by the collected studies, resulting in 21 studies for examination. Subsequently, these studies and their advantages and disadvantages are discussed. In addition, while examining the studies, five research questions are addressed. Finally, the defects, potential areas for improvement, and future research directions related to HIDSs are discussed. © 2013 IEEE.en_US
dc.identifier.doi10.1109/ACCESS.2024.3367004
dc.identifier.endpage27266en_US
dc.identifier.issn2169-3536
dc.identifier.scopus2-s2.0-85186066795
dc.identifier.scopusqualityQ1
dc.identifier.startpage27237en_US
dc.identifier.urihttps://doi.org/10.1109/ACCESS.2024.3367004
dc.identifier.urihttps://hdl.handle.net/20.500.12712/37330
dc.identifier.volume12en_US
dc.identifier.wosqualityQ2
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofIEEE Accessen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectDeep Learningen_US
dc.subjectHost-Based Intrusion Detection Systemen_US
dc.subjectInformation Securityen_US
dc.subjectIntrusion Detection Systemen_US
dc.subjectMachine Learningen_US
dc.titleA Systematic Literature Review on Host-Based Intrusion Detection Systemsen_US
dc.typeArticleen_US
dspace.entity.typePublication

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