Abstract

The proposed system was evaluated using the widely recognized NSL-KDD and CIC-IDS-2017 datasets. The results from these evaluations highlighted several qualitative benefits, including improved detection accuracy, greater processing efficiency, and better alignment with Digital Sovereignty principles. Moreover, the real-time processing capabilities of the system contributed to reduced data storage requirements, as the need for long-term data retention was minimized. The system's adaptability to local data laws further ensures that it can be deployed across various regions, complying with local regulations without sacrificing performance. Overall, the experimental results demonstrated significant advancements in both the accuracy and efficiency of intrusion detection, making this approach a promising solution for modern network security challenges.