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PreprintCited by 86Cryptographic Implementations and SecurityCryptography and Residue ArithmeticCryptography and Data Security

The DOI matches its Crossref record.

Algorithmic Security is Insufficient: A Comprehensive Survey on Implementation Attacks Haunting Post-Quantum Security

Open access

Abstract

This survey is on forward-looking, emerging security concerns in post-quantum era, i.e., the implementation attacks for 2022 winners of NIST post-quantum cryptography (PQC) competition and thus the visions, insights, and discussions can be used as a step forward towards scrutinizing the new standards for applications ranging from Metaverse/Web 3.0 to deeply-embedded systems.

Overview

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Crossref · 10.36227/techrxiv.23071079.v1

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Citations

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Metadata

Authors
Canto, A. C., Kaur, J., Kermani, M. M., & Azarderakhsh, R.
Affiliations
University of South Florida (US)
Published
2023-05-23
OpenAlex
W4377825895
Cited by
86
References
0
Citations by year
2026: 9 · 2025: 29 · 2024: 30 · 2023: 18
Type
posted content
Language
en
Open access
Locations
Figshare (submittedVersion, cc-by-nc-sa)
Funders
National Science Foundation (1801488)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Cryptographic Implementations and Security
  • Physical Sciences › Computer Science › Information Systems › Cryptography and Residue Arithmetic
  • Physical Sciences › Computer Science › Computer Networks and Communications › Cryptography and Data Security
Keywords
implementation attacks, post-quantum cryptography, NIST post-quantum standardization, side-channel attacks, embedded systems security, metaverse security

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This page
CoChat. (2026). Citation check: Algorithmic Security is Insufficient: A Comprehensive Survey on Implementation Attacks Haunting Post-Quantum Security. https://app.cochat.ai/papers/10.36227/techrxiv.23071079.v1
The paper
Canto, A. C., Kaur, J., Kermani, M. M., & Azarderakhsh, R. (2023). Algorithmic Security is Insufficient: A Comprehensive Survey on Implementation Attacks Haunting Post-Quantum Security. https://doi.org/10.36227/techrxiv.23071079.v1

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.