SoK: Cryptographic Authenticated Dictionaries

We systematize the research on authenticated dictionaries (ADs)—cryptographic data structures that enable applications such as key transparency, binary transparency, verifiable key-value stores, and integrity-preserving filesystems. First, we present a unified framework that captures the trust and threat assumptions behind five common deployment scenarios. Second, we distill and reconcile the diverse security definitions scattered across the literature, clarifying the guarantees they offer and when each is appropriate. Third, we develop a taxonomy of AD constructions and analyze their asymptotic costs, exposing a sharp dichotomy: every known scheme either incurs O(log n) time for both lookups and updates, or achieves O(1) for one operation only by paying O(n) for the other. Surprisingly, this barrier persists even when stronger trust assumptions are introduced, undermining the intuition that “more trust buys efficiency”. We conclude with application-driven research questions, including realistic auditing models and incentives for adoption in systems that today provide no verifiable integrity at all.

Authors

Publication Details

Journal
Open MIND
Published
2026-01-01
DOI
https://doi.org/10.14722/ndss.2026.241465
Primary Topic
Cryptography and Data Security
Type
article
Field-Weighted Citation Impact
0.00
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article

SoK: Cryptographic Authenticated Dictionaries

Sarah Meiklejohn, Joseph Bonneau, Francesca Falzon, Andrew Zitek-Estrada et al.
Open MIND
Cryptography and Data Security
article

SoK: Cryptographic Authenticated Dictionaries

Sarah Meiklejohn, Joseph Bonneau, Francesca Falzon, Andrew Zitek-Estrada, Harjasleen Malvai
article en

Abstract

We systematize the research on authenticated dictionaries (ADs)—cryptographic data structures that enable applications such as key transparency, binary transparency, verifiable key-value stores, and integrity-preserving filesystems. First, we present a unified framework that captures the trust and threat assumptions behind five common deployment scenarios. Second, we distill and reconcile the diverse security definitions scattered across the literature, clarifying the guarantees they offer and when each is appropriate. Third, we develop a taxonomy of AD constructions and analyze their asymptotic costs, exposing a sharp dichotomy: every known scheme either incurs O(log n) time for both lookups and updates, or achieves O(1) for one operation only by paying O(n) for the other. Surprisingly, this barrier persists even when stronger trust assumptions are introduced, undermining the intuition that “more trust buys efficiency”. We conclude with application-driven research questions, including realistic auditing models and incentives for adoption in systems that today provide no verifiable integrity at all.

Open MIND
Openalex Percentile: Top 8%
Cryptography and Data Security
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SoK: Cryptographic Authenticated Dictionaries — Sarah Meiklejohn, Joseph Bonneau, et al. · Open MIND (2026) | TGRS Research Map | TGRS