DETECTING DELAY ANOMALIES INTRODUCED BY HARDWARE TROJANS USING CHIP AVERAGING AND AN ON-CHIP HIGH RESOLUTION EMBEDDED TEST STRUCTURE

A hardware Trojan (HT) detection method is presented that is based on measuring and detecting small systematic changes in path delays introduced by capacitive loading effects or series inserted gates of HTs. The path delays are measured using a high resolution on-chip embedded test structure called a time-to-digital converter (TDC) that provides approx. 25 ps of timing resolution. A calibration method for the TDC as well as a chip-averaging technique are demonstrated to nearly eliminate chip-to-chip and within-die process variation effects on the measured path delays across chips, which simplifies the process and enhances the effectiveness of a simulation-based golden model. Path delay tests are applied to multiple copies of a 90 nm custom ASIC chip which incorporates two copies of an AES macro as well as a SPICE-level transient simulation model. The AES macros are exact replicas except for the insertion of several additional gates in the second hardware copy, which are designed to model HTs. Statistical detection methods are used to isolate and detect systematic changes introduced by these additional gates and a set of Trojan emulation circuits also inserted into the macros.

Name thesis:degree_name

Computer Engineering

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Electrical and Computer Engineering

Year

2016

Author dc:creator

• Ismari, Dylan

Contributors dc:contributor

• Plusquellic, Jim
• Zarkesh-Ha, Payman
• Saqib, Fareena
• Chakraborty, Raj

• Hardware Security
• Hardware Trojans
• Embedded Test Structure
• Golden Model

Language dc:language

English

Repository record dc:identifier

https://digitalrepository.unm.edu/ece_etds/122

OAI identifier oai:identifier

oai:digitalrepository.unm.edu:ece_etds-1121