Low Probability of Intercept Waveforms via Intersymbol Dither Performance Under Multiple Conditions

Abstract

The digital fingerprint (DF) creates a unique ID for any FPGA which cannot be tampered with or reproduced. The two most important factors in determining the success of a DF ID are its distinguishability and it stability. An ID must be robust enough so that it can distinguish a large number of chips and stable enough that it won't change when subjected to environmental changes. The DF methodology was automated. Then for distinguishability, it was tested on 60 circuits under ideal conditions as well as stressed by subjecting it to different supply voltages, a variety of different input values and different types of combinational circuits. Of these, it was concluded that input value and the type of combinational circuit used had the greatest influence on DF distinguishability. For stability, 60 digital circuits were stressed at different operating temperatures, supply voltages and input values. Here, it was determined that input value and operating temperature had the greatest impact on DF ID stability. These tests have given a greater understanding of the DF circuit and gives a guideline for creating future DF circuits with high distinguishability and stability.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2009
Accession Number
ADA519648

Entities

People

  • Jonathan K. Keen

Organizations

  • Air Force Institute of Technology

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Communities of Interest

  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Carrier Frequencies
  • Department Of Defense
  • Electrical Engineering
  • Frequency Agility
  • Information Operations
  • Line Of Sight
  • Military Operations
  • Mobile Phones
  • Modulation
  • Multipath Interference
  • Order Statistics
  • Probability Density Functions
  • Random Variables
  • Secure Communications
  • Waveforms
  • Wireless Communications

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  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Radio communications and signal processing.
  • Regression Analysis.