Analysis of Routing Worm Infection Rates on an IPV4

Abstract

Malicious logic, specifically worms, has caused monetary expenditure problems to network users in the past. Worms, like Slammer and Code Red, have infected thousands of systems and brought the Internet to a standstill. This research examines the ability of the original Slammer worm, the Slammer based routing worm proposed by Zou et al, and a new Single Slash Eight (SSE) routing worm proposed by this research to infect vulnerable systems within a given address space. This research investigates the Slammer worm's ability to generate a uniform random IP addresses in a given address space. Finally, a comparison of the speed increase from computing systems available today versus those in use during the original Slammer release is performed. This research finds that the both the Slammer based routing worm and the SSE routing worm are faster than the original Slammer. The random number generator of the original Slammer worm does generate a statistically uniform distribution of addresses within the range under test. Further, this research shows that despite the previous research into the speed of worm propagation, there is a large void in testing worms on the systems available today that need to be investigated. The speed of the computing systems that the worms operated on in the past were more than three times slower than today?s systems. As the speed of computer systems continue to grow, the speed of worm propagation should increase with it as their scan rates directly relate to their infection rate. As such, the immunity of the future IPv6 network, from scanning worms may need to be reexamined.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2007
Accession Number
ADA469318

Entities

People

  • James E. Gorsuch

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Cyber
  • Energy and Power Technologies
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Air Force
  • Computational Science
  • Computer Communications
  • Computer Networks
  • Computer Programming
  • Computers
  • Electronic Mail
  • Heterogeneous Networks
  • Internet
  • Mathematical Models
  • Network Architecture
  • Network Protocols
  • Network Science
  • Network Topology
  • Operating Systems
  • Regression Analysis
  • Routing Protocols

Fields of Study

  • Computer science

Readers

  • Economics
  • Marine Ecological Systems Migration
  • Operations Research

Technology Areas

  • Space