Constraint satisfaction with coevolution
New ideas in optimization
Self-Nonself Discrimination in a Computer
SP '94 Proceedings of the 1994 IEEE Symposium on Security and Privacy
Snort - Lightweight Intrusion Detection for Networks
LISA '99 Proceedings of the 13th USENIX conference on System administration
A sequential niche technique for multimodal function optimization
Evolutionary Computation
An artificial immune system architecture for computer securityapplications
IEEE Transactions on Evolutionary Computation
An immunity-based technique to characterize intrusions in computernetworks
IEEE Transactions on Evolutionary Computation
Anomaly detection in TCP/IP networks using immune systems paradigm
Computer Communications
Review: The use of computational intelligence in intrusion detection systems: A review
Applied Soft Computing
A distribution-based approach to anomaly detection and application to 3G mobile traffic
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Distribution-based anomaly detection in 3G mobile networks: from theory to practice
International Journal of Network Management
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The paper presents an approach for the anomaly detection problem based on principles of immune systems. Flexibility and efficiency of the anomaly detection system are achieved by building a model of network behavior based on self-nonself space paradigm. Covering both self and nonself spaces by hyperrectangular structures is proposed. Structures corresponding to self-space are built using a training set from this space. Hyperrectangular detectors covering nonself space are created using niching genetic algorithm. Coevolutionary algorithm is proposed to enhance this process. Results of conducted experiments show a high quality of intrusion detection which outperforms the quality of recently proposed approach based on hypersphere representation of self-space.