Analysis of Software-Defined Network Traffic Using Entropy

EasyChair Preprint no. 9489

Abstract

Entropy-based anomaly detection is being studied to improve the traditional approaches to network flow analysis based on volume and rules. In this work, the main threats to software-defined networks are considered, and the possibilities of using entropy for traffic analysis are also studied.

Keyphrases: anomaly detection, Entropy, NetFlow, network traffic measurement

@Booklet{EasyChair:9489,
  author = {Anastasiia Yatsenko and Valeriy Dubrovin and Maksym Pecherskyi and Maksym Chornobuk},
  title = {Analysis of Software-Defined Network Traffic Using Entropy},
  howpublished = {EasyChair Preprint no. 9489},

  year = {EasyChair, 2022}}