Longitudinal Study of Large-Scale Traceroute Results

Abstract

Traceroute is a popular active probing technique used by researchers, operators, and adversaries to map the structure and connectivity of IP networks. However, traceroute is susceptible to making inaccurate inferences. We perform a large-scale longitudinal investigation of traceroute artifacts to find anomalies that may be indicative of network errors, misconfiguration, or active deception efforts. Using the IPv4 Routed /24 Topology Dataset from the Center for Applied Internet Data Analysis (CAIDA), we provide a taxonomy of traceroute results, including anomalous and unexpected artifacts. We analyze the distribution of the observed artifacts and attempt to find attribution to the cause of each. Finally, we provide a longitudinal analysis of multi-protocol label switching in order to explore possible explanations for unexplained artifacts.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2018
Accession Number
AD1052646

Entities

People

  • Dillon Glasser

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Cyber
  • Energy and Power Technologies
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Computer Communications
  • Computer Networks
  • Computers
  • Data Analysis
  • Earth-To-Space Weapons
  • Information Systems
  • Internet
  • Network Protocols
  • Network Science
  • Network Topology
  • Networks
  • Operating Systems
  • Routing Protocols
  • Topology
  • Transport Protocols
  • United States
  • Web Browsers

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Cybersecurity.
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Technology Areas

  • AI & ML
  • AI & ML - Neural Networks