Jéferson Campos Nobre

On the Impact of Entropy-based Features

Iuri Mundstock, Abreu Quevedo, Jéferson Campos Nobre, Roben C. Lunardi, Thiago L. T. da Silveira, Bruno L. Dalmazo

Network anomaly detection is increasingly challenging due to the growing diversity and variability of traffic patterns, which are not always well captured by traditional statistical features. In this work, we explore the use of entropy as an additional feature to support supervis…Read more