Self-healing hybrid intrusion detection system: an ensemble machine learning approach

Self-healing hybrid intrusion detection system: an ensemble machine learning approach

Abstract The increasing complexity and adversity of cyber-attacks have prompted discussions in the cyber scenario for a prognosticate approach, rather than a reactionary one. In this paper, a signature-based intrusion detection system has been built based on C5 classifiers, to classify packets into...

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Bibliographic Details
Main Authors: Sauharda Kushal, Bharanidharan Shanmugam, Jawahar Sundaram, Suresh Thennadil
Format: Article
Language:English
Published: Springer 2024-04-01
Series:Discover Artificial Intelligence
Subjects:
Anomaly detection system
Convolutional neural network
Deep learning
Long short-term memory
Recurrent neural network
Self-healing
Online Access:https://doi.org/10.1007/s44163-024-00120-9

Internet

https://doi.org/10.1007/s44163-024-00120-9

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