Incremental Hybrid Intrusion Detection Using Ensemble of Weak Classifiers
作者： Amin Rasoulifard , Abbas Ghaemi Bafghi , Mohsen Kahani
DOI: 10.1007/978-3-540-89985-3_71
关键词:
摘要: In this paper, an incremental hybrid intrusion detection system is introduced. This combines misuse and anomaly detection. It can learn new classes of intrusions that do not exist in the training dataset for As framework has low computational complexity, it suitable real-time or on-line learning. Also experimental evaluations on KDD Cup are presented.
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