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Reliability based hardware Trojan design using physics-based electromigration models.

Authors :
Cook, Chase
Sadiqbatcha, Sheriff
Sun, Zeyu
Tan, Sheldon X.-D.
Source :
Integration: The VLSI Journal. May2019, Vol. 66, p9-15. 7p.
Publication Year :
2019

Abstract

In recent years the concern over Hardware Trojans has come to the forefront of hardware security research as these types of attacks pose a real and dangerous threat to both commercial and mission-critical systems. One interesting threat model utilizes semiconductor physics, specifically aging effects such as Electromigration (EM). However, existing methods for EM-based Trojans rely on empirical Black's models can easily lead to performance degradation and less accuracy in Trojan activation time prediction. In this article, we study the EM-based Trojan attacks based on recently developed physics-based EM models. We propose novel EM attack techniques in which the EM-induced hydrostatic stress increase in a wire is caused by wire structure or layer changes without changing the current density of the wires. The proposed techniques consist of sink/reservoir insertion or sizing and layer switching techniques based on the early and late failure modes of EM wear-out effects. As a result, the proposed techniques can have minimal impact on circuit performance, which is in contrast with existing current-density-based EM attacks. The proposed techniques can serve as a trigger for the EM attack on power/ground networks and signal and clock networks. Furthermore, we also present two potential EM attack mitigation techniques, namely, the split fabrication and burn-in testing. • Utilization of physics based Electromigration models and simulation techniques to create novel reliability based Trojans. • Presents difficult to detect topology and structure based Electromigration Trojans to minimize side channel impact. • Discusses techniques for mitigating the effectiveness of Electromigration based Trojans. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01679260
Volume :
66
Database :
Academic Search Index
Journal :
Integration: The VLSI Journal
Publication Type :
Academic Journal
Accession number :
136201131
Full Text :
https://doi.org/10.1016/j.vlsi.2019.01.011