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Combinatorial Testing

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Overview FAQs

Physical unclonable function (PUF) vulnerabilities

Combination frequency differencing (CFD) can be used to analyze the susceptibility of physical unclonable functions (PUFs) to machine learning attacks. Preliminary results suggest that the method may be useful for identifying bit combinations that have a disproportionately strong influence on PUF response bit values.

Kuhn, D. R., Raunak, M. S., Prado, C., Patil, V. C., & Kacker, R. N. (2022, April). "Combination Frequency Differencing for Identifying Design Weaknesses in Physical Unclonable Functions". In 2022 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW) (pp. 110-117).

Most vulnerable PUF:

Least vulnerable PUF:

Project Links

Additional Pages

Quick start Downloadable Tools Combinatorial Methods in Testing Why do Combinatorial Testing? Event Sequence Testing Case Studies Automated Testing Automated Test Generation Oracle-free Testing Property based Testing Assured autonomy Explainable AI, Verification, and Validation Rule-based Expert Systems and Formal Methods AI and Assured Autonomy Papers Assured Autonomy - briefings and videos Case studies Input space measurement for autonomy and testing Input Space Coverage Measurement Coverage examples Case studies Cybersecurity Testing Combinatorial approach MagicMirror smart contract testing Physical unclonable function (PUF) vulnerabilities Case studies Software Testing Methodology NIST Testing Process DOs and DON'Ts of testing ACTS Library Fundamental background papers Papers on combinatorial test methods Covering Array Library Seminars & Talks & Tutorial Combinatorial Methods For Modeling & Simulation Workshop Papers Our Research Program

Contacts

Rick Kuhn
kuhn@nist.gov
Address: https://www.nist.gov/people/d-richard-kuhn

Raghu Kacker
raghu.kacker@nist.gov
301-975-2109
Address: http://math.nist.gov/~RKacker/

M S Raunak
raunak@nist.gov

Group

Security Components and Mechanisms

Topics

Security and Privacy: assurance, modeling, testing & validation

Technologies: software & firmware

Related Projects

Access Control Policy Testing

Additional Pages

Quick start Downloadable Tools Combinatorial Methods in Testing Why do Combinatorial Testing? Event Sequence Testing Case Studies Automated Testing Automated Test Generation Oracle-free Testing Property based Testing Assured autonomy Explainable AI, Verification, and Validation Rule-based Expert Systems and Formal Methods AI and Assured Autonomy Papers Assured Autonomy - briefings and videos Case studies Input space measurement for autonomy and testing Input Space Coverage Measurement Coverage examples Case studies Cybersecurity Testing Combinatorial approach MagicMirror smart contract testing Physical unclonable function (PUF) vulnerabilities Case studies Software Testing Methodology NIST Testing Process DOs and DON'Ts of testing ACTS Library Fundamental background papers Papers on combinatorial test methods Covering Array Library Seminars & Talks & Tutorial Combinatorial Methods For Modeling & Simulation Workshop Papers Our Research Program

Contacts

Rick Kuhn
kuhn@nist.gov
Address: https://www.nist.gov/people/d-richard-kuhn

Raghu Kacker
raghu.kacker@nist.gov
301-975-2109
Address: http://math.nist.gov/~RKacker/

M S Raunak
raunak@nist.gov

Group

Security Components and Mechanisms

Topics

Security and Privacy: assurance, modeling, testing & validation

Technologies: software & firmware

Related Projects

Access Control Policy Testing

Created May 24, 2016, Updated January 19, 2024