Abstract. In this paper, we propose a new unsupervised anomaly detection framework for detecting network intrusions online. The framework consists of new anomalousness metrics name...
Whenever an intrusion occurs, the security and value of a computer system is compromised. Network-based attacks make it difficult for legitimate users to access various network ser...
Latifur Khan, Mamoun Awad, Bhavani M. Thuraisingha...
Data mining for intrusion detection can be divided into several sub-topics, among which unsupervised clustering has controversial properties. Unsupervised clustering for intrusion...
Requirements analysis for an Intrusion Detection System (IDS) involves deriving requirements for the IDS from analysis of the intrusion domain. When the IDS is, as here, a collecti...
Guy G. Helmer, Johnny S. Wong, Mark Slagell, Vasan...
Intrusion detection systems (IDS) perform an important role in the provision of network security, providing real- time notification of attacks in progress. One promising category ...