Structural Resilience Analysis of an Internet Fragment Against Targeted and Random Attacks -- A Case Study Based on iThena Project Data

Abstract

This article presents an analysis of the structural resilience of a fragment of Internet topology against both targeted and random attacks, based on empirical data obtained from the iThena project. Using a processed visualization of the network, a graph representing node connections was generated and subsequently subjected to detailed analysis using centrality metrics and community detection algorithms. Two attack scenarios were carried out: removal of nodes with the highest betweenness centrality and random removal of an equivalent number of nodes. The results indicate that targeted attacks have a significantly more destructive impact on the cohesion and functionality of the network than random disruptions. The article highlights the importance of identifying critical nodes and developing monitoring and protection mechanisms for Internet infrastructure in the context of cybersecurity.