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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 217))

Abstract

Anomaly 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.

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Acknowledgments

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).

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Correspondence to Tahani Hussein Abu Musa .

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Musa, T.H.A., Bouras, A. (2022). Anomaly Detection: A Survey. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Sixth International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 217. Springer, Singapore. https://doi.org/10.1007/978-981-16-2102-4_36

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