AuthenTree: A Scalable MPC-Based Distributed Trust Architecture for Chiplet-based Heterogeneous Systems

TL;DR

AuthenTree introduces a scalable, MPC-based distributed trust architecture for chiplet systems, enhancing security without hardware overhead, suitable for heterogeneous integration in AI and high-performance computing.

Contribution

It presents a novel distributed authentication framework using MPC in a tree architecture, eliminating centralized trust and hardware dependencies for chiplet security.

Findings

Minimal area overhead of 0.48%

Authentication latency below 1 microsecond

Outperforms previous solutions by up to 700 times

Abstract

The rapid adoption of chiplet-based heterogeneous integration is reshaping semiconductor design by enabling modular, scalable, and faster time-to-market solutions for AI and high-performance computing. However, multi-vendor assembly in post-fabrication environments fragments the supply chain and exposes SiP systems to serious security threats, including cloning, overproduction, and chiplet substitution. Existing authentication solutions depend on trusted integrators or centralized security anchors, which can expose sensitive data or create single points of failure. We introduce AuthenTree, a distributed authentication framework that leverages multi-party computation (MPC) in a scalable tree-based architecture, removing the need for dedicated security hardware or centralized trust. AuthenTree enables secure chiplet validation without revealing raw signatures, distributing trust across multiple integrator chiplets. Our evaluation in five SiP benchmarks demonstrates that AuthenTree imposes minimal overhead, with an area as low as 0.48% (7,000 sq-micrometers), an overhead power under 0.5%, and an authentication latency below 1 microsecond, surpassing previous work in some cases by 700 times. These results establish AuthenTree as an efficient, robust, and scalable solution for next-generation chiplet-based security in zero-trust SiP environments.