Hearing Cyber-Attacks: A Novel Model for Bridging Network Security Situation and Music

Abstract

With the continuous evolution of network attacks, the risks brought by the network are also increasing. In order to enable network administrators to monitor the network situation more easily, quickly and efficiently, and discover security risks such as network anomalies or attacks in a timely manner, this paper proposes a solution about network situation auralization. The novelty of this method lies in that it solves the problems, including high professional requirements, frequent human-computer interaction, and poor situation presentation effect in traditional network security situation visualization, and instead displays the network situation in the form of music. The solution provides two models to be chosen from: one is to use the extracted network traffic data as notes to directly generate music and display it; the other consists of the following procedures: The first step is to calculate and classify the acquired MIDI music collection based on emotional color. The second step requires to slice the extracted network traffic data, performing sampling statistics in different intervals, the network situation of this section is mapped to the corresponding MIDI music collection for music display after analysis.