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» Detecting Anomalies and Intruders
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ATAL
2008
Springer
14 years 11 months ago
CAMNEP: agent-based network intrusion detection system
We present a prototype of agent-based intrusion detection system designed for deployment on high-speed backbone networks. The main contribution of the system is the integration of...
Martin Rehák, Michal Pechoucek, Pavel Celed...
INFFUS
2002
162views more  INFFUS 2002»
14 years 9 months ago
Fusion of multiple classifiers
The security of computer networks plays a strategic role in modern computer systems. In order to enforce high protection levels against threats, a number of software tools have be...
Fabio Roli, Josef Kittler
ICDM
2008
IEEE
123views Data Mining» more  ICDM 2008»
15 years 4 months ago
Discovering Flow Anomalies: A SWEET Approach
Given a percentage-threshold and readings from a pair of consecutive upstream and downstream sensors, flow anomaly discovery identifies dominant time intervals where the fractio...
James M. Kang, Shashi Shekhar, Christine Wennen, P...
ICARIS
2009
Springer
15 years 4 months ago
Exploration of the Dendritic Cell Algorithm Using the Duration Calculus
As one of the newest members in Artificial Immune Systems (AIS), the Dendritic Cell Algorithm (DCA) has been applied to a range of problems. These applications mainly belong to th...
Feng Gu, Julie Greensmith, Uwe Aickelin
CORR
2010
Springer
167views Education» more  CORR 2010»
14 years 10 months ago
The DCA:SOMe Comparison A comparative study between two biologically-inspired algorithms
The Dendritic Cell Algorithm (DCA) is an immune-inspired algorithm, developed for the purpose of anomaly detection. The algorithm performs multi-sensor data fusion and correlation ...
Julie Greensmith, Jan Feyereisl, Uwe Aickelin