IRJun 12

Private Information Retrieval for Large-Scale DNA-Based Data Storage

arXiv:2606.14557v17.4
Predicted impact top 61% in IR · last 90 daysOriginality Synthesis-oriented
AI Analysis

For researchers in DNA-based data storage, this work provides initial adaptations of PIR to a novel storage medium, though the approaches are incremental extensions of existing protocols.

The paper adapts two-server Private Information Retrieval (PIR) protocols to synthetic DNA-based data storage, addressing unique biochemical challenges. It proposes two approaches that balance privacy, efficiency, and feasibility, demonstrating information-theoretic privacy trade-offs in this context.

We investigate Private Information Retrieval (PIR) in the context of synthetic DNA-based data storage. While PIR is a well-studied primitive for digital databases, extending it to DNA-based databases presents unique challenges arising from biochemical query mechanisms and their complexity. We propose two approaches for adapting two-server PIR protocols to DNA-based storage, balancing privacy, efficiency, and feasibility. These approaches illustrate how information-theoretic privacy trade-offs manifest in DNA-based storage systems.

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