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JAIR
2010
181views more  JAIR 2010»
13 years 2 months ago
Intrusion Detection using Continuous Time Bayesian Networks
Intrusion detection systems (IDSs) fall into two high-level categories: network-based systems (NIDS) that monitor network behaviors, and host-based systems (HIDS) that monitor sys...
Jing Xu, Christian R. Shelton
GECCO
2003
Springer
103views Optimization» more  GECCO 2003»
14 years 28 days ago
MILA - Multilevel Immune Learning Algorithm
The biological immune system is an intricate network of specialized tissues, organs, cells, and chemical molecules. T-cell-dependent humoral immune response is one of the complex i...
Dipankar Dasgupta, Senhua Yu, Nivedita Sumi Majumd...
ECOI
2010
144views more  ECOI 2010»
13 years 6 months ago
Machine reasoning about anomalous sensor data
We describe a semantic data validation tool that is capable of observing incoming real-time sensor data and performing reasoning against a set of rules specific to the scientific d...
Matt Calder, Robert A. Morris, Francesco Peri
IPCCC
2007
IEEE
14 years 2 months ago
SpyCon: Emulating User Activities to Detect Evasive Spyware
The success of any spyware is determined by its ability to evade detection. Although traditional detection methodologies employing signature and anomaly based systems have had rea...
Madhusudhanan Chandrasekaran, Vidyaraman Vidyarama...
CEC
2008
IEEE
14 years 2 months ago
DCA for bot detection
Abstract— Ensuring the security of computers is a nontrivial task, with many techniques used by malicious users to compromise these systems. In recent years a new threat has emer...
Yousof Al-Hammadi, Uwe Aickelin, Julie Greensmith