Application of anomaly detection algorithms for detecting SYN flooding attacks

By Vasilios A. Siris, Fotini Papagalou. IEEE Global Telecommunications Conference, 2004. GLOBECOM '04., 2004

391 citations recorded by the source corpus.

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A novel approach to detection of intrusions in computer networks via adaptive sequential and batch-sequential change-point detection methods (2006, methodology): “The adaptive threshold algorithm recently proposed in [36]”
A Survey of Defense Mechanisms Against Distributed Denial of Service (DDoS) Flooding Attacks (2013, methodology): “Based on the analysis in [130], anomaly detection algorithms to detect a DDoS ﬂooding attacks can be classiﬁed depending on either the monitored parameters [131] or statistical techniques used (e.g., change point detection [127], wavelet analysis [128]) or granularity level of the analysis [129].”
To the moon: defining and detecting cryptocurrency pump-and-dumps (2018, methodology): “Anomaly anatomy The anomaly detection technique utilised is a thresholding technique, inspired by previous research regarding denial of service attacks on a network (Siris and Papagalou 2004).”