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AuthorAbu Musa, Tahani Hussein
AuthorBouras, Abdelaziz
Available date2023-04-09T08:34:49Z
Publication Date2022
Publication NameLecture Notes in Networks and Systems
ResourceScopus
URIhttp://dx.doi.org/10.1007/978-981-16-2102-4_36
URIhttp://hdl.handle.net/10576/41746
AbstractAnomaly detection (AD) is considered one of the important research areas that have a diverse range of application domains. Some of the anomaly detection techniques presented in the literature were specifically implemented for certain domains, whereas others were more generic. In this paper, we aim at providing a structured yet extensive overview of current research directions on anomaly detection, including the definition of anomalies and their types, current anomaly detection modes, the output of anomaly detection techniques, and an overview of those techniques presented in the literature, in order to provide a guide when selecting the appropriate approach for certain application domains. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
SponsorAcknowledgments This research was achieved as part of the National Priority Research Program (NPRP) Research Project: NPRP11S-1227-170135, funded by the Qatar National Research Fund (QNRF).
Languageen
PublisherSpringer Science and Business Media Deutschland GmbH
SubjectAnomaly
Anomaly detection
Anomaly detection techniques
TitleAnomaly Detection: A Survey
TypeConference Paper
Pagination391-401
Volume Number217
dc.accessType Abstract Only


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