The recently published article presents an intrusion detection system (IDS) that is able to detect common network attacks including but not limited to, denial-of-service, bot nets, intrusions, and network scans.
With the help of the proposed example IDS, it is shown to what extent the training attack, and more sophisticated variants of it, have an impact on machine-learning based detection schemes. The analysis is then used to design an intrusion detection system that is resilient to such kind of attacks.
Links:
Article
Published article