Physical Unclonable Function (PUF) Vulnerabilities
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:
Embedded System Faults and Vulnerabilities
Weiss, A., Gautham, S., Jayakumar, A. V., Elks, C. R., Kuhn, D. R., Kacker, R. N., & Preusser, T. B. (2021). Understanding and fixing complex faults in embedded cyberphysical systems. Computer, 54(1), 49-60.
Jayakumar, A. V., Gautham, S., Kuhn, R., Simons, B., Collins, A., Dirsch, T., ... & Elks, C. (2020, October). Systematic software testing of critical embedded digital devices in nuclear power applications. In 2020 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) (pp. 85-90). IEEE.
Elks, C., Jayakumar, A., Collins, A., Hite, R., Karles, T., Deloglos, C., ... & Gautham, S. (2019). Preliminary results of a bounded exhaustive testing study for software in embedded digital devices in nuclear power applications. Idaho National Laboratory US Department of Energy Office of Nuclear Energy report INL/EXT-19-55606.
Jayakumar, A., Kuhn, D. R., Simons, B., Collins, A., Gautham, S., Hite, R., ... & Elks, C. (2021). A Pseudo Exhaustive Software Testing Framework for Embedded Digital Devices in Nuclear Power. National Institute of Standards and Technology, Gaithersburg.
