Discovery of IPV6 Router Interface Addresses via Heuristic Methods

Abstract

With the assignment of the last available blocks of public IPv4 addresses from Internet Assigned Numbers Authority, there is continued pressure for widespread IPv6 adoption. Because the IPv6 address space is orders of magnitude larger than the IPv4 address space, researchers need new methods and techniques to accurately measure and characterize growth in IPv6. This thesis focuses on IPv6router infrastructure and examines the possibility of using heuristic methods in order to discover IPv6 router interfaces. We consider two heuristic techniques in an attempt to improve upon current state-of-the-art IPv6 router infrastructure discovery methods. The first heuristic examines the ability to generate candidate IPv6 addresses by finding the most common lower 64 bit patterns among IPv6router interface address observed in historical probing data. The second heuristic generates candidate IPv6 addresses by assuming that an IPv6 address seen in historical probing data is one end of a point-to-point link, and uses the corresponding ends IPv6 address. Using a distributed active topology measurement system, we test these heuristic methods on the IPv6 Internet. We find that our first heuristic is successful in discovering a non-trivial number of new router interfaces, while the second heuristic is more efficient.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2015
Accession Number
AD1008946

Entities

People

  • Matthew D. Gray

Organizations

  • Naval Postgraduate School

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Computer Communications
  • Computer Networks
  • Computer Science
  • Computers
  • Data Analysis
  • Data Set
  • Deployment
  • Digital Data
  • Experimental Data
  • Heuristic Methods
  • Homeland Security
  • Infrastructure
  • Internet
  • Measurement
  • Network Protocols
  • Networks
  • New York
  • Routing Protocols
  • Security
  • Software Development
  • Standards
  • Technical Information Centers
  • Topology
  • United States

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computer Networking
  • Materials Science.

Technology Areas

  • Space