Evaluation of the Single Keybit Template Attack

Abstract

Side Channel leakage is a serious threat to secure devices. Cryptographic information extraction is possible after examining any one of the various side channels, including electromagnetic. This work contributes a new method to achieve such a purpose. The Single Keybit Template Attack (SKTA) is introduced as a means to extract encryption keys from embedded processors and other integrated circuit devices performing DES encryptions by passively monitoring and exploiting unintentional RF emissions. Key extraction is accomplished by creating two templates for each bit value of the key based on instantaneous amplitude responses as a device executes DES operations. The resultant templates are input to a Maximum Likelihood processor for subsequent template discrimination with RF emissions captured from a target device. Plaintext and ciphertext are not necessary for SKTA to function. Using 8-bit microcontroller devices and experimentally collected side channel signals, key extraction is possible after examination of approximately 300 RF emission traces. After consideration of SKTA's capabilities, embedded processors using DES to process sensitive data warrants reconsideration.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2011
Accession Number
ADA540192

Entities

People

  • Eric Garcia

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Advanced Electronics
  • Autonomy
  • C4I
  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Computers
  • Cryptography
  • Data Analysis
  • Department Of Defense
  • Electrical Engineering
  • Energy Consumption
  • Engineering
  • Governments
  • Information Processing
  • Information Science
  • Integrated Circuits
  • Measurement
  • Mobile Phones
  • Pattern Recognition
  • United States
  • United States Government

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Cybersecurity.
  • Integrated Circuit Design and Technology.

Technology Areas

  • AI & ML