Abstract

Extensive research is currently underway to determine the security of existing ciphers in light of the advancements in quantum computing. Against symmetric key cryptography, Grover’s search algorithm is a prominent attack, capable of reducing search costs to the square root. For using Grover’s algorithm, it is imperative to embed the target cipher into a quantum circuit. Even so, this area of research is relatively new; it has garnered significant attention from the research community. In this study, we provide the first estimation of the cost of Grover’s key search attack against the AES-based AEAD schemes Rocca-S, AEGIS-128, and Tiaoxin-346. Our analysis considers circuit depth restrictions specified in NIST’s PQC standardization process. Considering NIST’s maximum depth constraints, We present the overall cost of these attacks using gate count and depth-times-width metrics. We observed that for MAXDEPTH=240, Rocca-S, AEGIS-128, and Tiaoxin-346 can be retrieved using Grover’s search algorithm with gate count of 1.09 × 2253, 1.14 × 2124, and 1.22 × 2124 respectively. Concerning the current updated values by NIST, these ciphers are secure in terms of the cost of implementing Grover’s attack for key recovery. The quantum circuits of these ciphers are implemented using QISKIT, an open-source software development kit (SDK) designed for working with quantum computers running on the IBM Quantum Experience platform.

Details

Title
Implementing Grover’s on AES-based AEAD schemes
Author
Mandal, Surajit 1 ; Anand, Ravi 2 ; Rahman, Mostafizar 3 ; Sarkar, Santanu 1 ; Isobe, Takanori 4 

 Indian Institute of Technology Madras, Chennai, India (GRID:grid.417969.4) (ISNI:0000 0001 2315 1926) 
 Indraprastha Institute of Technology Delhi, New Delhi, India (GRID:grid.417969.4); University of Hyogo, Kobe, Japan (GRID:grid.266453.0) (ISNI:0000 0001 0724 9317) 
 Indraprastha Institute of Technology Delhi, New Delhi, India (GRID:grid.266453.0) 
 University of Hyogo, Kobe, Japan (GRID:grid.266453.0) (ISNI:0000 0001 0724 9317) 
Pages
21105
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3102576711
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.