Proactive Host Mutation in Software Defined Networking

Abstract

With Software-Defined Networking (SDN), hosts can be assigned a virtual IP address that changes at random intervals, allowing hosts to maintain their real IP Address, while presenting a moving target to network scanners. The original concept comes from the University of North Carolina. Their testing was performed in an SDN emulator without any statistical analysis. To further this field of research, a testbed with fifty hosts and one attack machine controlled by an SDN controller is established on physical servers. Experiments are conducted with different possible configurations (i.e.,5, 10, ... 50 hosts; and 30 sec, 1 min, 5 min, and 15 min mutation rates). Results show there is a statistically measurable difference between a traditional network and a software-defined network running host mutation software, with the same configuration. Comparing the scan times and number of hosts found from scans of both networks with a t-test, resulted in low P-Values, approximately 0.05 or lower. In addition, as the number of hosts increased from five to fifty, the difference between the number of hosts found in the traditional network and the SDN increased.

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Document Details

Document Type
Technical Report
Publication Date
Mar 23, 2017
Accession Number
AD1054315

Entities

People

  • Matthew E. Aust

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Cyber
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Computational Science
  • Computer Network Security
  • Computer Networks
  • Computer Programming
  • Computer Science
  • Computers
  • Computing System Architectures
  • Cybersecurity
  • Detection
  • Intrusion Detectors
  • Measurement
  • Moving Target Defense
  • Moving Targets
  • Network Architecture
  • Network Protocols
  • North Carolina
  • Operating Systems
  • Pilot Studies
  • Port Scanners
  • Software Defined Networks
  • Standards
  • Statistical Analysis
  • United States
  • Virtual Machines

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Mathematics or Statistics
  • Regression Analysis.