Exploitation of Unintentional Information Leakage from Integrated Circuits

Abstract

Unintentional electromagnetic emissions are used to recognize or verify the identity of a unique integrated circuit (IC) based on fabrication process-induced variations in a manner analogous to biometric human identification. The effectiveness of the technique is demonstrated through an extensive empirical study, with results presented indicating correct device identification success rates of greater than 99:5%, and average verification equal error rates (EERs) of less than 0:05% for 40 near-identical devices. The proposed approach is suitable for security applications involving commodity commercial ICs, with substantial cost and scalability advantages over existing approaches. A systematic leakage mapping methodology is also proposed to comprehensively assess the information leakage of arbitrary block cipher implementations, and to quantitatively bound an arbitrary implementation's resistance to the general class of differential side channel analysis techniques. The framework is demonstrated using the well-known Hamming Weight and Hamming Distance leakage models, and approach's effectiveness is demonstrated through the empirical assessment of two typical unprotected implementations of the Advanced Encryption Standard. The assessment results are empirically validated against correlation-based differential power and electromagnetic analysis attacks.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2011
Accession Number
ADA550584

Entities

People

  • William E. Cobb

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Advanced Electronics
  • Cyber
  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Air Force
  • Authentication
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Computers
  • Databases
  • Electrical Engineering
  • Electromagnetic Fields
  • Electromagnetic Radiation
  • Information Processing
  • Information Science
  • Information Theory
  • Integrated Circuits
  • Network Science
  • Semiconductors
  • Signal Processing

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Cybersecurity.
  • Integrated Circuit Design and Technology.