CRMar 21, 2020

Obfuscating the Interconnects: Low-Cost and Resilient Full-Chip Layout Camouflaging

arXiv:2003.10830v13 citations
Originality Incremental advance
AI Analysis

This work addresses the need for cost-effective and resilient intellectual property protection in circuit design, particularly against untrusted fabs and malicious users, though it is incremental in improving existing camouflaging methods.

The paper tackles the problem of high costs and limited resilience in circuit layout camouflaging by proposing a low-cost, full-chip scheme that obfuscates interconnects without front-end modifications, achieving average power, performance, and area overheads of 24.96%, 19.06%, and 32.55%, respectively, and showing security improvements such as reducing correct connections by 7.47X and increasing attack complexity by 24.15X.

Layout camouflaging can protect the intellectual property of modern circuits. Most prior art, however, incurs excessive layout overheads and necessitates customization of active-device manufacturing processes, i.e., the front-end-of-line (FEOL). As a result, camouflaging has typically been applied selectively, which can ultimately undermine its resilience. Here, we propose a low-cost and generic scheme---full-chip camouflaging can be finally realized without reservations. Our scheme is based on obfuscating the interconnects, i.e., the back-end-of-line (BEOL), through design-time handling for real and dummy wires and vias. To that end, we implement custom, BEOL-centric obfuscation cells, and develop a CAD flow using industrial tools. Our scheme can be applied to any design and technology node without FEOL-level modifications. Considering its BEOL-centric nature, we advocate applying our scheme in conjunction with split manufacturing, to furthermore protect against untrusted fabs. We evaluate our scheme for various designs at the physical, DRC-clean layout level. Our scheme incurs a significantly lower cost than most of the prior art. Notably, for fully camouflaged layouts, we observe average power, performance, and area overheads of 24.96%, 19.06%, and 32.55%, respectively. We conduct a thorough security study addressing the threats (attacks) related to untrustworthy FEOL fabs (proximity attacks) and malicious end-users (SAT-based attacks). An empirical key finding is that only large-scale camouflaging schemes like ours are practically secure against powerful SAT-based attacks. Another key finding is that our scheme hinders both placement- and routing-centric proximity attacks; correct connections are reduced by 7.47X, and complexity is increased by 24.15X, respectively, for such attacks.

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