Adaptive and Dynamic Intrusion Detection by Means of Idiotypic Networks Paradigm

in The 21th IEEE International Parallel and Distributed Processing Symposium (IPDPS), NIDISC Workshop. (2008)

In this paper we present a novel intrusion detection architecture based on Idiotypic Network Theory (INIDS), that aims at dealing with large scale network attacks featuring variable properties, like ... [more ▼]

In this paper we present a novel intrusion detection architecture based on Idiotypic Network Theory (INIDS), that aims at dealing with large scale network attacks featuring variable properties, like Denial of Service (DoS). The proposed architecture performs dynamic and adaptive clustering of the network traffic for taking fast and effective countermeasures against such high-volume attacks. INIDS is evaluated on the MIT'99 dataset and outperforms previous approaches for DoS detection applied to this set. [less ▲]

On the Use of a Genetic Algorithm in High Performance Computer Benchmark Tuning

in IEEE International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS'08) (2008)

Evaluation of Different Optimization Techniques in the Design of Ad Hoc Injection Networks

in special session on Parallel and Grid Computing for Optimization as part of The 2008 International Conference High Performance Computing & Simulation (HPCS008) and in conjunction with The 22nd European Conference on Modeling and Simulation (ECMS 2008). (2008)

Coevolutionary-based Mechanisms for Network Anomaly Detection

in Journal of Mathematical Modelling and Algorithms (2007), 6(3), 411-431

The paper presents an approach based on the principles of immune systems applied to the anomaly detection problem. Flexibility and efficiency of the anomaly detection system are achieved by building a ... [more ▼]

The paper presents an approach based on the principles of immune systems applied to the anomaly detection problem. Flexibility and efficiency of the anomaly detection system are achieved by building a model of the network behavior based on the self-nonself space paradigm. Covering both self and nonself spaces by hyperrectangular structures is proposed. The structures corresponding to self-space are built using a training set from this space. The hyperrectangular detectors covering nonself space are created using a niching genetic algorithm. A coevolutionary algorithm is proposed to enhance this process. The results of experiments show a high quality of intrusion detection, which outperform the quality of the recently proposed approach based on a hypersphere representation of the self-space. [less ▲]

Distributed Coevolutionary Genetic Algorithm for Optimal Design of Ad Hoc Injection Networks

in The 21st European Conference on Modeling and Simulation (ECMS 2007) (2007)

chap "Cryptographie à clef secréte"

in Sécurité Multimédia: Cryptographie et Sécurité Systèmes et Réseaux (2006)

hLCGA: A Hybrid Competitive Coevolutionary Genetic Algorithm

in HIS'06: Proceedings of the 6th international conference on Hybrid Intelligent Systems (2006)

Simulating Realistic Mobility Models for Large Heterogeneous MANETs

in 9th ACM/IEEE International Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWIM'06) (2006)

Dafo, a multi-agent framework for decomposable functions optimization

in 9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES 2005) (2005)

Agent-Based Optimization of Business Functions Using Coevolutionary Algorithms

in Proceedings of the International Conference on Information and Knowledge Engineering (2004)