Szczegóły publikacji
Opis bibliograficzny
Postquantum symmetric cryptography inspired by neural networks / Wojciech Węgrzynek, Paweł TOPA // W: FedCSIS 2023 [Dokument elektroniczny] : proceedings of the 18th conference on Computer Science and Intelligence Systems : September 17–20, 2023, Warsaw, Poland / eds. Maria Ganzha, [et al.]. — Wersja do Windows. — Dane tekstowe. — Warszawa : Polskie Towarzystwo Informatyczne, cop. 2023. — (Annals of Computer Science and Information Systems ; ISSN 2300-5963 ; Vol. 35). — Dod.: ART: ISBN 978-83-969601-0-8, USB: ISBN 978-83-967447-9-1. — e-ISBN: 978-83-967447-8-4. — S. 1205–1210. — Wymagania systemowe: Adobe Reader. — Tryb dostępu: https://annals-csis.org/proceedings/2023/drp/pdf/9901.pdf [2023-10-06]. — Bibliogr. s. 1210, Abstr.
Autorzy (2)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 149274 |
|---|---|
| Data dodania do BaDAP | 2023-11-08 |
| DOI | 10.15439/2023F9901 |
| Rok publikacji | 2023 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Konferencja | 18th conference on Computer Science and Intelligence Systems |
| Czasopismo/seria | Annals of Computer Science and Information Systems |
Abstract
We introduce a novel approach to postquantum symmetric encryption that allows us to modify and continue to use any encryption scheme. By composing the encryption and decryption functions with the evaluation of arbitrarily wide neural networks we are able to verify that anyone performing these functions has access to at least a certain amount of memory. Since the number of qubits in quantum computers has been relatively slow-growing, this provides us security from the Grover’s search attack, and any attack utilizing a similar oracle circuit.