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» Dendritic Cells for Anomaly Detection
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GECCO
2009
Springer
150views Optimization» more  GECCO 2009»
14 years 5 days ago
Integrating real-time analysis with the dendritic cell algorithm through segmentation
As an immune inspired algorithm, the Dendritic Cell Algorithm (DCA) has been applied to a range of problems, particularly in the area of intrusion detection. Ideally, the intrusio...
Feng Gu, Julie Greensmith, Uwe Aickelin
CORR
2010
Springer
124views Education» more  CORR 2010»
13 years 5 months ago
Detecting Danger: The Dendritic Cell Algorithm
l invaders in the form of pathogens. In this research, and abstract model of DC behaviour is developed and subsequently used to form an algorithm, the DCA. The abstraction process ...
Julie Greensmith, Uwe Aickelin, Steve Cayzer
ICARIS
2009
Springer
14 years 5 days ago
A Sense of 'Danger' for Windows Processes
The sophistication of modern computer malware demands run-time malware detection strategies which are not only efficient but also robust to obfuscation and evasion attempts. In thi...
Salman Manzoor, M. Zubair Shafiq, S. Momina Tabish...
CORR
2008
Springer
192views Education» more  CORR 2008»
13 years 4 months ago
Anomaly Detection in Streaming Sensor Data
In this chapter we consider a cell phone network as a set of automatically deployed sensors that records movement and interaction patterns of the population. We discuss methods fo...
Alec Pawling, Ping Yan, Julián Candia, Timo...
ICARIS
2007
Springer
13 years 11 months ago
Towards a Novel Immune Inspired Approach to Temporal Anomaly Detection
Abstract. In this conceptual paper, we report on studies and initial definitions of an immune-inspired approach to temporal anomaly detection problems, where there is a strict temp...
Thiago S. Guzella, Tomaz A. Mota-Santos, Walmir M....