| Popis: |
The security monitoring of the information system represents a major concern for organizations. Attackers can use multiple and different ways to harm or abuse system resources, this variety of attacks raises issues related to how to treat it. In addition, these attacks can evolve and be undetectable by the existing methods of security. To solve these problems, we propose, in this paper, the implementation of an automatic security monitoring system of the information system, based on exposing Honeypots and collecting data of attacks from them, storing the variety of attacks using Big Data techniques, and processing and analyzing them by Recurrent Neural Network (RNN) which is a Deep Leaning method, in order to extract knowledge from these threats and face the others unknown similar. |
