惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

G
Google Developers Blog
博客园 - 司徒正美
Last Week in AI
Last Week in AI
Recent Announcements
Recent Announcements
Y
Y Combinator Blog
博客园 - 聂微东
M
MIT News - Artificial intelligence
博客园_首页
Jina AI
Jina AI
博客园 - 叶小钗
酷 壳 – CoolShell
酷 壳 – CoolShell
H
Hackread – Cybersecurity News, Data Breaches, AI and More
J
Java Code Geeks
F
Fortinet All Blogs
aimingoo的专栏
aimingoo的专栏
小众软件
小众软件
Vercel News
Vercel News
The Cloudflare Blog
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
云风的 BLOG
云风的 BLOG
N
Netflix TechBlog - Medium
B
Blog
Google DeepMind News
Google DeepMind News
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More

Cryptology ePrint Archive

Fast Isogeny Evaluation on Binary Curves Quick Draw Queries: Lightweight Searchable Public-key Ciphertexts with Hidden Structures via Non-Interactive Key Exchange A Constructive Treatment of Authentication Boolean Arithmetic over $\mathbb{F}_2$ from Group Commutators HAWK with Hint: Algebraic Key Recovery from Side-Channel Leakage Post-Quantum Secure k-Times Traceable Ring Signature A Key Schedule Design and Evaluation under Boundary Round-Key Leakage 2G2T: Constant-Size, Statistically Sound MSM Outsourcing Proximity Signatures Breaking Optimized HQC: The First Cache-Timing Full Decryption Oracle Key-Recovery Attack in Post-Quantum Cryptography Efficient Partially Blind Signatures from Isogenies Evaluating PQC KEMs, Combiners, and Cascade Encryption via Adaptive IND-CPA Testing Using Deep Learning High-Throughput Side-Channel-Protected Stream Cipher Hardware for 6G Systems Efficient e = 3 Threshold RSA via Integer Coordinates for Intel SGX Zeal: PIR for Non-Cooperative Databases VEIL: Lightweight Zero-Knowledge for Hash-Based Multilinear Proof Systems Witness-Indistinguishable Arguments of Knowledge and One-Way Functions The many faces of Schnorr: a touch-up Open Problems in List Decoding and Correlated Agreement Compressed Key Exchange Protocol from Orientations of Large Discriminant Using AVX-512 SPLASH: SPeculative Leakage-Adaptive Secure Hardware An Efficient Identity-Based Blind Signature Scheme from SM9 Efficient Batch Threshold Encryption Using Partial Fraction Techniques A note on the Unsuitability of LIGA for Linkable Ring Signatures: The perils of non-commutativity Verification Facade: Masquerading Insecure Cryptographic Implementations as Verified Code Cryptographic Implications of Worst-Case Hardness of Time-Bounded Kolmogorov Complexity Efficient Merkle-Tree Consistent Accumulator FLOSS: Fast Linear Online Secret-Shared Shuffling Which Privacy Blanket is Optimal in the Shuffle Model? Applications of Bruhat-Chevalley-Renner Decomposition to Metric-Aware Code-Based Cryptography
Computer-Aided Proof for Extended Generalized Feistel Net...
Yuchao Chen · 2026-05-26 · via Cryptology ePrint Archive

Paper 2026/1057

Computer-Aided Proof for Extended Generalized Feistel Networks

, School of Cyber Science and Technology, Shandong University, Qingdao, China, State Key Laboratory of Cryptography and Digital Economy Security, Shandong University, Qingdao, 266237, China, Key Laboratory of Cryptologic Technology and Information Security, Ministry of Education, Shandong University, Jinan, China

Chun Guo, School of Cyber Science and Technology, Shandong University, Qingdao, China, State Key Laboratory of Cryptography and Digital Economy Security, Shandong University, Qingdao, 266237, China, Key Laboratory of Cryptologic Technology and Information Security, Ministry of Education, Shandong University, Jinan, China

Muzhou Li, School of Cryptologic Science and Engineering, Shandong University, Jinan, China, State Key Laboratory of Cryptography and Digital Economy Security, Shandong University, Qingdao, 266237, China, Key Laboratory of Cryptologic Technology and Information Security, Ministry of Education, Shandong University, Jinan, China, Quancheng Laboratory, Jinan, 250103, China

Shuo Peng, School of Cyber Science and Technology, Shandong University, Qingdao, China, State Key Laboratory of Cryptography and Digital Economy Security, Shandong University, Qingdao, 266237, China, Key Laboratory of Cryptologic Technology and Information Security, Ministry of Education, Shandong University, Jinan, China

Hao Lei, School of Cyber Science and Technology, Shandong University, Qingdao, China, State Key Laboratory of Cryptography and Digital Economy Security, Shandong University, Qingdao, 266237, China, Key Laboratory of Cryptologic Technology and Information Security, Ministry of Education, Shandong University, Jinan, China

Guang Zeng, Huawei technologies, Beijing, China

Meiqin Wang, School of Cyber Science and Technology, Shandong University, Qingdao, China, State Key Laboratory of Cryptography and Digital Economy Security, Shandong University, Qingdao, 266237, China, Key Laboratory of Cryptologic Technology and Information Security, Ministry of Education, Shandong University, Jinan, China, Quancheng Laboratory, Jinan, 250103, China

Abstract

(Multi-branch) Generalized Feistel Network~(GFN) enables the construction of block ciphers from non-linear components with small domains, and has been adopted in various block ciphers. Berger et al. (SAC 2013) introduced the Extended Generalized Feistel Network~(EGFN), which unified and extended existing Feistel-like structures by using a matrix representation. Given an arbitrary matrix, it is typically difficult to determine how many EGFN rounds are sufficient for pseudorandom permutation (PRP) and strong PRP (SPRP) security. Remarkably, security proofs for structures with a larger number of branches have to analyze a huge amount of collision events, which is overly complicated and prone to errors. To remedy this situation, we present AutoEGFN, a computer-aided proof tool that determines the number of rounds sufficient for PRP and SPRP security for various variants of EGFN. The tool operates by calculating three parameters: $r_1$, $r_2$, and $r_3$. The validity and soundness of AutoEGFN are formally established by a detailed security proof. To demonstrate the effectiveness of AutoEGFN, we have applied it to multiple structures such as Type-1/2 GFN (Zheng et al., CRYPTO 1989), YI11's Type-1 GFN (Yanagihara and Iwata, CANS 2011), DFLM19's GFN (Derbez et al., FSE 2019), DDGP22's GFN (Delaune et al., INDOCRYPT 2022), Type-1.x GFN (Yanagihara and Iwata, IEICE 2014), SH/TH GFN (Yanagihara and Iwata, CANS 2011), Nyberg's GFN (Nyberg, ASIACRYPT 1996), SM's GFN (Suzaki and Minematsu, FSE 2010), and BMT's EGFN (Berger et al., SAC 2013). As a result, we provide a systematic analysis of the (S)PRP security for Type-1 and Type-2 structures for different numbers of branches. Our tool efficiently determines the concrete number of rounds required to ensure PRP and SPRP security for EGFNs with different branch numbers. For comparison, previous work only proved the (S)PRP security for 8- and 16-branch BMT's EGFN. Our tool completes the proof within several minutes, even for variants with $32$ branches. Meanwhile, for the other structures, we provide the first concrete (S)PRP security proofs without any restrictions on their permutation layers. Furthermore, AutoEGFN will significantly contribute to the enhancement of EGFN designs and implementations in various cryptographic applications.