Network anomaly detection using a cross‐correlation‐based long‐range dependence analysis

The detection of anomalies in network traffic is an important task in today’s Internet. Among various anomaly detection methods, the techniques based on examination of the long-range dependence (LRD) behavior of network traffic stands out to be powerful. In this paper, we reveal anomalies in aggrega...

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Bibliographic Details
Main Authors: Basil AsSadhan, Abraham Alzoghaiby, Hamad Binsalleeh, Kostas Kyriakopoulos, Sangarapillai Lambotharan
Format: Default Article
Published: 2020
Subjects:
Distributed computing and systems software not elsewhere classified
Long-range dependence
Self-similarity
FARIMA
Cross-correlation function
Network anomaly detection
DDoS attacks
Distributed Computing
Online Access:https://hdl.handle.net/2134/12551126.v1
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https://hdl.handle.net/2134/12551126.v1

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