Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
Self-Nonself Discrimination in a Computer
SP '94 Proceedings of the 1994 IEEE Symposium on Security and Privacy
Anomaly Detection Using Real-Valued Negative Selection
Genetic Programming and Evolvable Machines
Novelty detection: a review—part 1: statistical approaches
Signal Processing
Novelty detection: a review—part 2: neural network based approaches
Signal Processing
Estimating the detector coverage in a negative selection algorithm
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Is negative selection appropriate for anomaly detection?
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
An evolutionary algorithm to generate hyper-ellipsoid detectors for negative selection
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
MILA – multilevel immune learning algorithm and its application to anomaly detection
Soft Computing - A Fusion of Foundations, Methodologies and Applications
How Do We Evaluate Artificial Immune Systems?
Evolutionary Computation
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Modelling the control of an immune response through cytokine signalling
ICARIS'06 Proceedings of the 5th international conference on Artificial Immune Systems
On the use of hyperspheres in artificial immune systems as antibody recognition regions
ICARIS'06 Proceedings of the 5th international conference on Artificial Immune Systems
A cytokine formal immune network
ECAL'05 Proceedings of the 8th European conference on Advances in Artificial Life
Introducing dendritic cells as a novel immune-inspired algorithm for anomaly detection
ICARIS'05 Proceedings of the 4th 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
Immunising automated teller machines
ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
An immunity-based technique to characterize intrusions in computernetworks
IEEE Transactions on Evolutionary Computation
Revisiting the Foundations of Artificial Immune Systems for Data Mining
IEEE Transactions on Evolutionary Computation
A formal framework for positive and negative detection schemes
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Neural Networks
Engineering Applications of Artificial Intelligence
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This paper presents a novel immune inspired algorithm, named DERA (Dynamic Effector Regulatory Algorithm), aimed at fault detection and other anomaly detection problems. It integrates immunological research results, pointing out the importance of a special breed of cells (regulatory T cells) in the control of various aspects of the immune system, and includes a mechanism for signalling between cells. Preliminary results of the application of the proposed model to the DAMADICS fault detection dataset are presented, indicating that the proposed approach can attain good results when properly tuned.