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Quiet in Class: Classification, Noise and the Dendritic Cell Algorithm
It is found that this feature, while advantageous for noisy, time-ordered classification, is not as useful as a traditional static filter for processing a synthetic dataset.
Theoretical formulation and analysis of the deterministic dendritic cell algorithm
Our analysis suggests that the standard dDCA has a runtime complexity of O(n2) for the worst-case scenario, where n is the number of input data instances.
The Dendritic Cell Algorithm for Intrusion Detection
Based on preliminary results, both improvements appear to be promising for online anomaly-based intrusion detection.
Immune System Approaches to Intrusion Detection - A Review (ICARIS)
The use of artificial immune systems in intrusion detection is an appealing concept for two reasons.
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