Theoretical Computer Science
PLC-automata: a new class of implementable real-time automata
Theoretical Computer Science - Special issue on real-time systems and concurrent and distributed software
Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
Stateful Intrusion Detection for High-Speed Networks
SP '02 Proceedings of the 2002 IEEE Symposium on Security and Privacy
Duration Calculus: A Formal Approach to Real-Time Systems (Monographs in Theoretical Computer Science. an Eatcs Seris)
Dendritic cells for SYN scan detection
Proceedings of the 9th annual conference on Genetic and evolutionary computation
The application of a dendritic cell algorithm to a robotic classifier
ICARIS'07 Proceedings of the 6th international conference on Artificial immune systems
A comparative study of real-valued negative selection to statistical anomaly detection techniques
ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
Exploration of the Dendritic Cell Algorithm Using the Duration Calculus
ICARIS '09 Proceedings of the 8th International Conference on Artificial Immune Systems
ICARIS'12 Proceedings of the 11th international conference on Artificial Immune Systems
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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 intrusion detection should be performed in real-time, in order to continuously detect misuses, as soon as they occur. Consequently, the analysis process performed by an intrusion detection system must operate in real-time or near-to real-time. The analysis process of the DCA is currently performed offline, therefore to improve the algorithm's performance we suggest the development of a real-time analysis component. The initial step of the development is to apply segmentation to the DCA. This involves segmenting the current output of the DCA into slices and performing the analysis in various ways. Two segmentation approaches are introduced and tested in this paper, namely antigen based segmentation (ABS) and time based segmentation (TBS). The results of the corresponding experiments suggest that applying segmentation produces different and significantly better results in some cases, when compared to the standard DCA without segmentation. Therefore, we conclude that the segmentation is applicable to the DCA for the purpose of real-time analysis.