General Letters in Mathematics

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A Lightweight Neural Classifier for Intrusion Detection

Azidine GUEZZAZ , Ahmed ASIMI , Younes ASIMI , Zakariae TBATOU , Yassine SADQI

Intrusion detection and prevention is a set of techniques that try to detect attacks as they occur or after the attacks took place. There are two recent and useful approaches to detect intrusions: misuse and anomaly. They collect network traffic activities from some points on the network or computer system ...

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Contribution of wavelets to cybersecurity: Intrusion detection systems using neural networks

Saiida Lazaar

The gigantic growth of the exchanged digital data has raised important security challenges. In this ecosystem, connected objects, systems and networks are exposed to various cyber threats endangering sensitive data and compromising confidentiality, integrity and authentication. Modelling intrusion detection ...

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