A Persistent Hierarchical Bloom Filter-based Framework for Authentication and Tracking of ICs

TL;DR

This paper presents the Persistent Hierarchical Bloom Filter (PHBF) framework, a novel method for reliable IC authentication and tracking in supply chains, achieving perfect accuracy despite noisy PUF signatures.

Contribution

The paper introduces PHBF, a new hierarchical Bloom filter-based framework that enhances IC authentication robustness against noise in PUF signatures.

Findings

Achieves 100% authentication accuracy in supply chain scenarios.

Effectively handles noisy PUF-generated signatures.

Provides a scalable and efficient IC tracking method.

Abstract

Detecting counterfeit integrated circuits (ICs) in unreliable supply chains demands robust tracking and authentication. Physical Unclonable Functions (PUFs) offer unique IC identifiers, but noise undermines their utility. This study introduces the Persistent Hierarchical Bloom Filter (PHBF) framework, ensuring swift and accurate IC authentication with an accuracy rate of 100% across the supply chain even with noisy PUF-generated signatures.