Design and implementation of artificial intelligence for the prevention of cybercrime in the Republic of Congo based on machine learning: Approach based on artificial learning in cybersecurity for the detection of intrusions
Conception et mise en place d’une intelligence artificielle de prévention de la cybercriminalité en république du Congo basée sur la machine Learning : Approche basée sur l’apprentissage artificiel en cybersécurité pour la détection des intrusions.
Résumé
Companies produce enough data in their operations and this data is stored in their information systems. These information systems operate in an insecure environment, that is to say less secure because of the communication channel used which is the Internet. It is exposed to several types of attacks such as: denial of service, SQL injection, password cracking, etc. This is how cyber security was developed to deal with these scourges of attacks which can alter the proper functioning of an organization. Cyber security is a set of processes aimed at protecting an information system against cyber attack.
Our approach in this article is to develop a security system based on artificial intelligence, more precisely on artificial learning.
The objective of artificial learning is to create predictive models from a training sample. In this article we propose a new approach, which consists of controlling the sensitivity of support vector machine using the perturbation method.
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