Generating Statistically Relevant Trojan Benchmarks for Microelectronics Quantifiable Assurance
Abstract
Hardware trojan horse (HTH) detection metrics are used to quantify the value of trojan detection methods. These metrics, often in terms of probability of detection and probability of false alarm, can be used to help quantify the impact on design assurance when applying mitigations to a microelectronics circuit. A question arises, however, regarding how statistically sound the metric values must be to make reasonable trust and assurance decisions. Statistical relevance metrics have been used in many fields to justify confidence in claims, and benchmarks that can produce statistically relevant detection metrics are necessary to trust the quantification of microelectronics assurance. This work defines the requirements for generating statistically relevant detection metrics that are useful for quantifying microelectronics design assurance via testing with a strategically implemented circuit design benchmark set.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 20, 2023
- Accession Number
- AD1198439
Entities
People
- James Koiner
- Jonathan Graf
- Kevin Paar
- Margaret Winslow
- Scott Harper
- Whitney Batchelor