Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection

Understand

Neural networks have become an increasingly popular solution for network intrusion detection systems (NIDS).

• Their capability of learning complex patterns and behaviors make them a suitable solution for differentiating between normal traffic and network attacks.
• However, a drawback of neural networks is the amount of resources needed to train them.
• Many network gateways and routers devices, which could potentially host an NIDS, simply do not have the memory or processing power to train and sometimes even execute such models.