Radio Frequency-Based Microcontroller Anomaly Detection

Abstract

The research presented here focuses on applying the Correlation-Based Anomaly Detection (CBAD) process to a Microcontroller Unit (MCU) as a means of detecting an anomalous behavior by verifying that the device is behaving normally. This research utilizes a previously developed method to collect Unintentional Radio Frequency (RF) Emissions(UREs) Texas Instruments MSP430F5529 microcontrollers. Once captured, the time domain signals are processed and used as one of two inputs into the CBAD algorithm, which generates a statistic to be compared to a threshold. Like-device performance met the arbitrary benchmark of Equal Error Rate (EER) x14; 10 . Cross-device performance met the benchmark when the reference signal originated from the same manufacturing lot, but did not meet the benchmark when the reference signal originated from a different manufacturing lot.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2016
Accession Number
AD1053882

Entities

People

  • Justin P. Wylie

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Advanced Electronics
  • Cyber
  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Anomaly Detection
  • C Programming Language
  • Change Detection
  • Commerce
  • Communication Channels
  • Computer Network Security
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computer Security
  • Computers
  • Cyberattacks
  • Detection
  • Detectors
  • Embedded Systems
  • Engineering
  • Governments
  • Information Processing
  • Integrated Circuits
  • Intrusion Detection
  • Intrusion Detectors
  • Manufacturing
  • Network Science
  • Semiconductor Devices
  • United States

Readers

  • Computational Modeling and Simulation
  • Integrated Circuit Design and Technology.
  • Radio communications and signal processing.