Predictive Modeling of High-Power Electromagnetic Effects on Electronics (Postprint)

Abstract

The ability to understand and predict the effects on electronic systems that might result from an intentional electromagnetic interference (EMI) attack is of great importance in defending critical electronic systems against such a threat. In this paper, we focus on predicting the response of a microcontroller to a high-power electromagnetic waveform. We will describe our approach and present results from experimental investigations as well as modeling of the response of different microcontrollers to the direct injection of a radiofrequency signal into clock and signal lines. We will describe how our results shed light on the broader problem of predicting the response of a general digital system to a high-power electromagnetic waveform. Future work will involve investigating the susceptibility of other instructions and other injection sites, as well as extending our approach to the case of free-field illumination.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2011
Accession Number
ADA590071

Entities

People

  • Aaron Taylor
  • David Brumit
  • David Dietz
  • James Duffey
  • Nicholas Estep
  • Sameer Hemmady
  • Susumu Yakura
  • Timothy Clarke

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Advanced Electronics

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Assembly Languages
  • Bayesian Networks
  • Circuits
  • Electromagnetic Properties
  • Electronics
  • Free Field
  • Frequency
  • Integrated Circuits
  • Microcontrollers
  • Models
  • Predictive Modeling
  • Probabilistic Models
  • Probability
  • Radio Frequency Pulses
  • Waveforms

Fields of Study

  • Engineering
  • Physics

Readers

  • Computational Fluid Dynamics (CFD)
  • Electromagnetic Wave Scattering and Antenna Radiation Engineering
  • Integrated Circuit Design and Technology.

Technology Areas

  • Microelectronics