From one to three: multi-entry persistent fault analysis of Ascon

Ascon-AEAD128 is a NIST-standardized lightweight authenticated-encryption scheme. However, persistent fault analysis (PFA) of Ascon remains underexplored. The existing PFA study lacks a concrete implementation scenario and incurs relatively high plaintext-query complexity. This paper considers a round-unrolled implementation in which each round has separate hardware and shares one round-specific lookup table (LUT) across its 64 bit-sliced S-box positions. Within this setting, we propose a unified multi-entry PFA framework that integrates fault-configuration construction, fault-pattern identification, and complete 128-bit key recovery. We distinguish a strict multi-entry bit-flip model, which supports at most two distinguishable faulty entries, from a more general LUT-overwrite model, which supports up to three. We further consider direct-observation and query-based fault-pattern identification settings and derive the expected fault-injection, identification-query, and key-recovery costs. Simulations over ten configurations, with 10,000 independent trials each, closely match the theoretical results. Once a valid fault configuration is established, one-, two-, and three-entry attacks require approximately 150, 74, and 49 plaintext queries on average, respectively. The three-entry LUT-overwrite model requires approximately 49 queries on average, below the 63–451-query range reported for prior single-entry Ascon PFA.

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Publication Details

Journal
Journal of King Saud University - Computer and Information Sciences
Published
2026-08-25
DOI
https://doi.org/10.1007/s44443-026-01213-4
Primary Topic
Cryptographic Implementations and Security
Type
article
Field-Weighted Citation Impact
0.00

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article

From one to three: multi-entry persistent fault analysis of Ascon

Yang Gao, Siqi Lu, Yange Chen, Yongjuan Wang et al.
Journal of King Saud University - Computer and Information Sciences
Cryptographic Implementations and Security
article

From one to three: multi-entry persistent fault analysis of Ascon

Yang Gao, Siqi Lu, Yange Chen, Yongjuan Wang, Qingjun Yuan
article en

Abstract

Ascon-AEAD128 is a NIST-standardized lightweight authenticated-encryption scheme. However, persistent fault analysis (PFA) of Ascon remains underexplored. The existing PFA study lacks a concrete implementation scenario and incurs relatively high plaintext-query complexity. This paper considers a round-unrolled implementation in which each round has separate hardware and shares one round-specific lookup table (LUT) across its 64 bit-sliced S-box positions. Within this setting, we propose a unified multi-entry PFA framework that integrates fault-configuration construction, fault-pattern identification, and complete 128-bit key recovery. We distinguish a strict multi-entry bit-flip model, which supports at most two distinguishable faulty entries, from a more general LUT-overwrite model, which supports up to three. We further consider direct-observation and query-based fault-pattern identification settings and derive the expected fault-injection, identification-query, and key-recovery costs. Simulations over ten configurations, with 10,000 independent trials each, closely match the theoretical results. Once a valid fault configuration is established, one-, two-, and three-entry attacks require approximately 150, 74, and 49 plaintext queries on average, respectively. The three-entry LUT-overwrite model requires approximately 49 queries on average, below the 63–451-query range reported for prior single-entry Ascon PFA.

Journal of King Saud University - Computer and Information SciencesVol. 38(7)
PLA Information Engineering University (CN), Xuchang University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Henan Province
Peace, Justice and strong institutions
Openalex Percentile: Top 8%
Cryptographic Implementations and Security
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From one to three: multi-entry persistent fault analysis of Ascon — Yang Gao, Siqi Lu, et al. · Journal of King Saud University - Computer and Information Sciences (2026) | TGRS Research Map | TGRS