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microelectronics

GOMAC 2023 - Booth and Session Information

GOMAC 2023 - Booth and Session Information

Come see our presentations, posters, and booth at GOMAC 2023! Click here for the full GOMAC 2023 program schedule.

Poster Session: The poster session is at 10:30am – 12:10pm, Thurs March 23. We hope to see you there!

  • Poster P50-38: “Generating Statistically Relevant Trojan Benchmarks for Microelectronics Quantifiable Assurance”

  • Poster P50-39: “Facilitating Assurance and Collaboration through Digital Threads in Microelectronics Experiments”

Presentation Session: We’re presenting our third paper in Session 38: Side-Channel Analysis, at 1:30 – 3:10pm, Thurs March 23.

  • Session 38-5: “Determining Residual Risk from Optimized Selection of Hardware Trojan Detection Strategies”

We will also be present in the ongoing Exhibits session at Booth 713 where you can talk to our experts about the software tools we offer, including Enverite design assurance solutions and our OpTrust service. We’ll be available at our booth all day on Tues March 21 and Wed March 22.

Graf Research Awarded SBIR: "Optimal Strategies for Cloud-Based Trust Assessment"

Graf Research has been awarded a Phase 1 SBIR to research and develop optimal strategies for cloud-based trust assessment. We anticipate creating not only a novel cloud architecture that can facilitate the use of many of the DARPA-sponsored custom microelectronics trust software tools but also a unique, cloud-hosted software product OpTrust-C which will devise optimal strategies for the proper implementation of defensive measures.

150 SBIR Logo.png

IEEE NAECON 2016: "System-Level Adversary Attack Surface Modeling for Microelectronics Trust"

Continuing our publication of the applications of Game Theory to various levels of trust assessment, we discuss system-level applications in our IEEE NAECON 2016 paper. Come on out and see our presentation!

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Towards System-Level Adversary Attack Surface Modeling for Microelectronics Trust
Jonathan Graf

Abstract: Models of trust for microelectronic systems are difficult to create due to the large variety of adversarial strategies available. Building on previous work, we present a new adversary model that considers the large heterogeneous attack surface that is realistically available on a diverse microelectronic system. We also present an expanded game theoretic model that permits reasoning about optimal adversarial and defensive strategies across this varied attack surface.