Array-Based Statistical Analysis of the MK-3 Customizable Authenticated Encryption Algorithm

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Názov: Array-Based Statistical Analysis of the MK-3 Customizable Authenticated Encryption Algorithm
Autori: Peter Bajorski, Alan Kaminsky, Michael Kurdziel, Marcin Łukowiak, Stanisław Radziszowski
Informácie o vydavateľovi: Research Square Platform LLC, 2023.
Rok vydania: 2023
Popis: To provide security autonomy capability, such that different users can have independent variants of the encryption algorithm, MK-3 is designed to be customizable. Two levels of customization are supported, Factory Customization and Field Customization. Customization is done by modifying functions and function parameters in the algorithm to yield unique cipher functions while preserving the algorithm’s cryptographic security. The main goal of this work is to present the results from the statistical analysis of the customizable MK-3 encryption cypher, focusing on field customized mixers. We recall the main components of the MK-3 algorithm and overview a subset of available factory and field customizations for MK-3. We test the main instances of the field customized versions and give a general argument for their desired statistical properties expected from an encryption cypher.
Druh dokumentu: Article
DOI: 10.21203/rs.3.rs-3237742/v1
Rights: CC BY
Prístupové číslo: edsair.doi...........a2d914b8f23fb818ab1cbce1d7988cb1
Databáza: OpenAIRE
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