Autonomic intrusion detection: Adaptively detecting anomalies over unlabeled audit data streams in computer networks

In this work, we propose a novel framework of autonomic intrusion detection that fulfills online and adaptive intrusion detection over unlabeled HTTP traffic streams in computer networks. The framework holds potential for self-managing: self-labeling, self-updating and self-adapting. Our framework e...

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