Cyber-Attack Detection from IoT Benchmark Considered as Data Streams

With the advancement of internet technologies, network traffic monitoring and cyber-attack detection are becoming more and more important for critical infrastructure. Unfortunately, there are still relatively few works in the literature that interpret the available benchmark data as data streams and take into account the dynamic characteristics of network packet tracking. The following work proposes an approach to generating data streams from the IoT-23 dataset and evaluates the resulting streams based on their suitability for use in network intrusion detection research.