Geographic Location of a Computer Node Examining a Time-to-Location Algorithm and Multiple Autonomous System Networks

Abstract

To determine the location of a computer on the Internet without resorting to outside information or databases would greatly increase the security abilities of the US Air Force and the Department of Defense. The geographic location of a computer node has been demonstrated on an autonomous system (AS) network, or a network with one system administration focal point. The work shows that a similar technique will work on networks comprised of a multiple AS network. A time-to-location algorithm can successfully resolve a geographic location of a computer node using only latency information from known sites and mathematically calculating the Euclidean distance to those sites from an unknown location on a single AS network. The time-to-location algorithm on a multiple AS network successfully resolves a geographic location 71.4% of the time. Packets are subject to arbitrary delays in the network; and inconsistencies in latency measurements are discovered when attempting to use a time-to location algorithm on a multiple AS network. To improve accuracy in a multiple AS network, a time-to-location algorithm needs to calculate the link bandwidth when attempting to geographically locate a computer node on a multiple AS network.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2004
Accession Number
ADA424208

Entities

People

  • Duane C. Sorgaard

Organizations

  • United States Army War College

Tags

Communities of Interest

  • Cyber
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Algorithms
  • Autonomous Systems
  • Computer Networks
  • Databases
  • Department Of Defense
  • Engineering
  • Geography
  • Global Positioning Systems
  • Information Science
  • Internet
  • Measurement
  • Network Protocols
  • Network Science
  • Network Topology
  • United States

Fields of Study

  • Computer science

Readers

  • Neural Network Machine Learning.
  • Psychometric Testing or Psychological Assessment.
  • Wetland-Land-Environmental Management.

Technology Areas

  • Autonomy