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A survey on anomalies detection techniques and measurement methods

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dc.citedby13
dc.contributor.authorMuruti G.en_US
dc.contributor.authorRahim F.A.en_US
dc.contributor.authorBin Ibrahim Z.-A.en_US
dc.contributor.authorid57202611569en_US
dc.contributor.authorid57350579500en_US
dc.contributor.authorid57203863738en_US
dc.date.accessioned2023-05-29T07:27:22Z
dc.date.available2023-05-29T07:27:22Z
dc.date.issued2019
dc.descriptionLearning systems; Measurement; Network security; Dynamic researches; Measurement methods; Techniques; Validation; Anomaly detectionen_US
dc.description.abstractDynamic research area has been applied and researched on anomaly detection in various domains. And various techniques have been proposed to identify unexpected items or events in datasets which differ from the norm. This review tries to provide a basic and structured overview of the anomaly detection techniques. Also, this review discusses major anomaly detection techniques using statistical based and machine learning based techniques. The outcome of this review may facilitate a better understanding of the different techniques in which research has been done on this topic by comparing the pros and cons of the identified techniques. In addition, this review also discusses on the measurement methods used by other researchers in validating their anomalies detection techniques. � 2018 IEEEen_US
dc.description.natureFinalen_US
dc.identifier.ArtNo8631436
dc.identifier.doi10.1109/IISA.2018.8631436
dc.identifier.epage86
dc.identifier.scopus2-s2.0-85062853147
dc.identifier.spage81
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85062853147&doi=10.1109%2fIISA.2018.8631436&partnerID=40&md5=5865508e2caa6924c2c71ede54a23a34
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/24808
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2018 IEEE Conference on Application, Information and Network Security, AINS 2018
dc.titleA survey on anomalies detection techniques and measurement methodsen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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