Fingerprinting 802.11 Devices

Abstract

The research presented in this thesis provides the reader with a set of algorithms and techniques that enable the user to remotely determine what chipset and device driver an 802.11 device is using. The work details both passive and active approaches, and quantitatively gauges the effectiveness of various techniques. The implications of this are far ranging. On one hand, the techniques can be used to implement innovative new features in Wireless Intrusion Detection Systems (WIDS). On the other, they can be used to target link layer device driver attacks with much higher precision.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2006
Accession Number
ADA456965

Entities

People

  • Jonathan P. Ellch

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Cyber
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Authentication
  • Computer Access Control
  • Computer Science
  • Detection
  • Device Drivers
  • Identification
  • Intrusion
  • Intrusion Detection
  • Intrusion Detection Systems
  • Intrusion Detectors
  • Local Area Networks
  • Operating Systems
  • Standards
  • Wireless Computer Networks
  • Wireless Networks

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Cybersecurity.
  • Systems Analysis and Design