A Survey of Data Stream-Based Intrusion Detection Systems

A Survey of Data Stream-Based Intrusion Detection Systems

Detecting malicious activities in network environments poses a challenge that attracts significant attention due to its complexity and importance. Advances in the field have led to the development of several algorithms that approach the problem under the view of a data stream machine learning task....

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Bibliographic Details
Main Authors: Rodrigo Sanches Miani, Gustavo Di Giovanni Bernardo, Guilherme Weigert Cassales, Hermes Senger, Elaine Ribeiro de Faria
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Computer networks
cybersecurity
data-stream
intrusion detection systems
machine-learning
Online Access:https://ieeexplore.ieee.org/document/10965698/
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