慣性聚合 高效追讀感興趣之博客、新聞、科技資訊
閱原文 以慣性聚合開啟

推薦訂閱源

WordPress大学
WordPress大学
博客园 - 司徒正美
小众软件
小众软件
H
Help Net Security
博客园 - 聂微东
宝玉的分享
宝玉的分享
Jina AI
Jina AI
酷 壳 – CoolShell
酷 壳 – CoolShell
阮一峰的网络日志
阮一峰的网络日志
M
MIT News - Artificial intelligence
博客园 - 【当耐特】
U
Unit 42
大猫的无限游戏
大猫的无限游戏
Apple Machine Learning Research
Apple Machine Learning Research
S
SegmentFault 最新的问题
腾讯CDC
MongoDB | Blog
MongoDB | Blog
云风的 BLOG
云风的 BLOG
J
Java Code Geeks
I
InfoQ
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
Martin Fowler
Martin Fowler
博客园 - 三生石上(FineUI控件)
Vercel News
Vercel News

Cryptology ePrint Archive

Formalizing and Strengthening the Security Proof of NTOR Verifiable Anomaly and Similarity Detection Using Matrix Profile in Private Time-series Adaptively-Secure Flexible and Identity-Based Broadcast Encryption from Decomposed LWE MERIDIAN: A Toroid-Inspired Permutation Block Cipher for Constrained Environments PPML Is More Vulnerable to Cryptanalytic Extraction Attacks Toward Practical Fair Data Exchange: Eliminating In-Circuit Public-Key Operations Fault Injection Attacks Against zkSTARKs Scale, Round, Break: Simple Leakage Attacks on Secret Sharing Schemes Private Delegation of (Non-)Membership Proof Updates in Cryptographic Accumulators Beyond Binary: crosscorrelation of Cubic, Quartic and Quintic Character Sequences ZEE200: Zero Knowledge for Everything and Everyone @ 200 KHz A Post-Quantum Accountable Sanitizable Signature Scheme Based on Unbalanced Oil and Vinegar Better Usability: Leakage-Resistant AEADs from Single-length Blockciphers TieredOMap: Skewness-Aware Oblivious Map From Rerandtopia to Interceptopia, the Anamorphic Encryption Saga Rises Non-Adaptive Programmable PRFs and Applications to Stacked Garbling Practical Post-Quantum Secure Publicly Verifiable Secret Sharing and Applications Mosaic: Practical Malicious Security for Garbled Circuits on Bitcoin Efficient Bootstrapping of Matrices in FHE Decomposing Multiplication: A Vertical Packing Approach for Faster TFHE Formal Verification, Integration and Physical Evaluation of Prime-Field Masking on Silicon New Techniques for Communication-Efficient Secure Comparison Protocols Pairing-Based Verifiable Shuffles with Logarithmic-Size Proofs Verifying Provenance of Digital Media: Security Analysis of C2PA and its Implementation EQuADiSE: Efficient Quantum-safe Adaptive Distributed Symmetric-key Encryption Oriole: Adaptively Secure Partially Non-Interactive Threshold Signatures from Lattices Secure and Updatable Single Password Authentication Batch-Puncturing Circuit CP-ABE (and More) from Lattices Panther: Robust Hybrid KEM Combiners via Structural Splicing Cobra: All-in-one for full-fledged defense — a hybrid nested KEM
Separating the Pebbling Model from the Random Oracle Model
Susanna F. de Rezende, Lund University · 2026-05-22 · via Cryptology ePrint Archive

Paper 2026/1024

Separating the Pebbling Model from the Random Oracle Model

David Engström, Lund University

Leonid Reyzin, Boston University

Abstract

The security of cryptographic constructions that enforce resource usage, such as Proofs of Work or Proofs of Space, is often shown in the random oracle model. This model restricts the class of possible adversaries, because it assumes that the adversary can access some function RO only as a black box, via queries. When the resource in question is space, the random oracle model is often further idealized by assuming that the outputs of RO are usable only in a black box manner: they are either stored whole or discarded whole by the adversary, and are never computed upon, except when provided as inputs to RO. In this idealization, they are often called "pebbles," and space usage is counted in terms of pebbles stored. In some cases, it is known that the pebbling model does not add further restrictions on the adversary, because the bit strings that correspond to the pebbles can actually be extracted from the adversary's memory. In other cases, this question has been open for over a decade. We resolve the open question by showing that the pebbling model does not realistically model adversarial capabilities in two important cases. Specifically, we construct a family of Proofs of Space and a family of Memory-Hard Functions in the pebbling model for which an algorithm that is allowed to treat outputs of RO as bit strings and compute upon them (simply by XORing subsets of them) can be significantly more efficient that an algorithm limited to pebbling.

BibTeX

@misc{cryptoeprint:2026/1024,
      author = {Susanna F. de Rezende and David Engström and Leonid Reyzin},
      title = {Separating the Pebbling Model from the Random Oracle Model},
      howpublished = {Cryptology {ePrint} Archive, Paper 2026/1024},
      year = {2026},
      url = {https://eprint.iacr.org/2026/1024}
}