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» A New Model for Dynamic Intrusion Detection
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CANS
2005
Springer
134views Cryptology» more  CANS 2005»
14 years 1 months ago
A New Unsupervised Anomaly Detection Framework for Detecting Network Attacks in Real-Time
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...
Wei Lu, Issa Traoré
VLDB
2007
ACM
164views Database» more  VLDB 2007»
14 years 7 months ago
A new intrusion detection system using support vector machines and hierarchical clustering
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...
PAKDD
2009
ACM
115views Data Mining» more  PAKDD 2009»
14 years 2 months ago
Data Mining for Intrusion Detection: From Outliers to True Intrusions
Data mining for intrusion detection can be divided into several sub-topics, among which unsupervised clustering has controversial properties. Unsupervised clustering for intrusion...
Goverdhan Singh, Florent Masseglia, Céline ...
RE
2002
Springer
13 years 7 months ago
A Software Fault Tree Approach to Requirements Analysis of an Intrusion Detection System
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...
ACSW
2006
13 years 9 months ago
Synapse: auto-correlation and dynamic attack redirection in an immunologically-inspired IDS
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 ...
David Duncombe, George M. Mohay, Andrew Clark