IPTrust: A Comprehensive Framework for IP Integrity Validation

Overview

Reusable hardware Intellectual Property (IP) based System-on-Chip (SoC) design has emerged as a pervasive design practice in the industry to dramatically reduce design/verification cost while meeting aggressive time-to-market constraints. However, growing reliance on these pre-verified hardware IPs, often gathered from untrusted third-party vendors, severely affects the security and trustworthiness of SoC computing platforms. An important emerging concern with the hardware IPs acquired from external sources is that they may come with deliberate malicious implants to incorporate undesired functionality (e.g. hardware Trojan), undocumented test/debug interface working as hidden backdoor, or other integrity issues (e.g. rare input conditions that violate peak power or temperature constraints). SoC designers typically tend to treat these IPs as black box and rely on the IP vendors on their structural/functional integrity. However, recent investigations by researchers including the PIs as well as reported incidences show that such practices make SoCs increasingly vulnerable to trust issues and highlight the impending threat. It is extremely difficult to verify integrity and trust for hardware IPs of different types and complexity, due to (a) incomplete functional specifications, and (b) lack of a golden reference model. Even if such a model is available from an IP vendor, its integrity remains questionable. To address this critical need, in this project, we investigate a comprehensive scalable framework for IP trust verification through integration of trust analysis with a unified functional-structural-parametric trust validation scheme, and effective IP trust metrics.



Members

   Faculty (PI)    Affiliation    Graduate Students
   Prof. Swarup Bhunia    EECS, Case Western Reserve University    Fengchao Zhang
   Prof. Prabhat Mishra    CISE, University of Florida    Yuanwen Huang, Farimah Farahmandi


Research Sponsors

National Science Foundation This project is funded by the National Science Foundation (NSF). The views expressed on the site are those of the members of this project and do not necessarily represent those of the National Science Foundation.
Semiconductor Research Corporation This project is also jointly funded by the Semiconductor Research Corporation (SRC). The views expressed on the site are those of the members of this project and do not necessarily represent those of the SRC.