Abstract
The constant evolution of new botnets oriented to cause Distributed Denial of Service (DDoS) attacks, combined with the low storage capacity of Internet of Things (IoT) devices to store packets traveling through the network, justify the use of intrusion detection systems (IDSs) based on machine learning models that are capable of learning about new attacks without the need to save all tra…