A case study on the representativeness of public DoS network traffic data for cybersecurity research
Marta Catillo, Antonio Pecchia, Massimiliano Rak, Umberto Villano · 2020
The availability of ready-to-use public security datasets is fostering measurement-driven research by a wide community of academics and practitioners. Recent trends in this area put forth a substantial body of literature on anomaly and attack detection on the top of public labelled datasets. Much of this literature blindly reuses existing datasets by overlooking the cybersecurity facets of the network traffic therein, in terms of its real impact on service availability and performance of operations.