Challenges and Future Directions for Intrusion Detection Systems Based on AutoML

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dc.contributor.authorAbbood, Zainab Ali
dc.contributor.authorKhaleel, Ismael
dc.contributor.authorAggarwal, Karan
dc.date.accessioned2025-02-06T18:00:01Z
dc.date.available2025-02-06T18:00:01Z
dc.date.issued2021
dc.departmentAltınbaş Üniversitesien_US
dc.description.abstractRecent use of computer systems and the Internet has contributed to severe protection, privacy and confidentiality problems due to the processes involved in the electronic data transformation. Much has been done to improve the security and privacy of information systems, but these issues remain in computer systems; there is, in fact, no system in the world That is early stable. Furthermore, various network attacks develop when the signature database incorporates a new signature with irregular behaviour. With many types of attacks emerging, many techniques are being built and used in many forms of network attacks. Intrusion detection systems ( IDS) are one of those methods. This method allows the management of several network networks, cloud storage and an information system. The IDS can track and detect attacks to breach a system's security features (confidentiality, availability, and integrity). This research aims at classifying IDS based on their intended goal and to compare different types of IDS in each class. © 2021, Mesopotamian Academic Press. All rights reserved.en_US
dc.identifier.doi10.58496/MJCS/2021/004
dc.identifier.endpage21en_US
dc.identifier.issn2958-6542
dc.identifier.scopus2-s2.0-85148697243
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage16en_US
dc.identifier.urihttps://doi.org/10.58496/MJCS/2021/004
dc.identifier.urihttps://hdl.handle.net/20.500.12939/5273
dc.identifier.volume2021en_US
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherMesopotamian Academic Pressen_US
dc.relation.ispartofMesopotamian Journal of CyberSecurityen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmzKA_Scopus_20250206
dc.subjectAutoMLen_US
dc.subjectCyber Securityen_US
dc.subjectIDSen_US
dc.subjectNetwork Securityen_US
dc.titleChallenges and Future Directions for Intrusion Detection Systems Based on AutoMLen_US
dc.typeArticleen_US

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