**7. Conclusions and future work**

In this paper, we achieved a successful distributed IDS. Using the FCM algorithm allows to effectively train and analyze our model after merging datasets. Proposing a distributed system and showing the power of Spark to combine and handle large and heterogeneous structures of training datasets present the main merits in our work.

In future work, we will perform our dataset analysis with another Big Data framework expected to reach faster results. In addition, we will develop our approach with other classifiers to get better results.
