Exploitation of Unintentional Ethernet Cable Emissions Using Constellation Based-Distinct Native Attribute (CB-DNA) Fingerprints to Enhance Network Security

Abstract

This research contributed to the AFIT's Radio Frequency Intelligence (RFINT) program by developing a new device discrimination technique called Constellation-Based Distinct Native Attribute (CB-DNA) Fingerprinting. This is of great interest to the Air Force Research Lab (AFRL), Sensor Directorate, who supported the research and now have new method for improving network security. CB-DNA fingerprints are used to authenticate wired network device identities, thwart unauthorized access, and augment traditional bit-level security measures that area easily bypassed by skilled hackers. Similar to human fingerprint features that uniquely identify individuals, CB-DNA uniquely identifies communication devices and improves the rate at which unauthorized rogue devices are granted network access.

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Document Details

Document Type
Technical Report
Publication Date
Sep 17, 2015
Accession Number
ADA623874

Entities

People

  • Timothy J. Carbino

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Cyber
  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Communication Channels
  • Computer Network Security
  • Computer Networks
  • Computers
  • Control Systems
  • Department Of Defense
  • Feature Extraction
  • Information Science
  • Machine Learning
  • Modulation
  • Network Protocols
  • Operating Systems
  • Orthogonal Frequency Division Multiplexing
  • Supervised Machine Learning
  • United States Government

Fields of Study

  • Computer science

Readers

  • Cybersecurity.

Technology Areas

  • Cyber
  • Cyber - Quantum