An Encrypted File Detection Algorithm

Despite the availability of data leak detection and prevention tools, there are currently a growing number of confidential data leaks through the fault of insiders. One of the possible data leak channels is encrypted or compressed data transfer, because the existing data leak detection tools use con...

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Detalles Bibliográficos
Autores principales: Kozachok, A. V., Kozachok, V. I., Spirin, A. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pleiades Publishing 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8886193/
http://dx.doi.org/10.3103/S0146411621080162
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author Kozachok, A. V.
Kozachok, V. I.
Spirin, A. A.
author_facet Kozachok, A. V.
Kozachok, V. I.
Spirin, A. A.
author_sort Kozachok, A. V.
collection PubMed
description Despite the availability of data leak detection and prevention tools, there are currently a growing number of confidential data leaks through the fault of insiders. One of the possible data leak channels is encrypted or compressed data transfer, because the existing data leak detection tools use content data analysis methods. This article presents an algorithm of detecting encrypted and compressed data that is based on the statistical model of pseudo-random sequences and allows detecting encrypted and compressed data to an accuracy of 0.99.
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spelling pubmed-88861932022-03-01 An Encrypted File Detection Algorithm Kozachok, A. V. Kozachok, V. I. Spirin, A. A. Aut. Control Comp. Sci. Article Despite the availability of data leak detection and prevention tools, there are currently a growing number of confidential data leaks through the fault of insiders. One of the possible data leak channels is encrypted or compressed data transfer, because the existing data leak detection tools use content data analysis methods. This article presents an algorithm of detecting encrypted and compressed data that is based on the statistical model of pseudo-random sequences and allows detecting encrypted and compressed data to an accuracy of 0.99. Pleiades Publishing 2022-03-01 2021 /pmc/articles/PMC8886193/ http://dx.doi.org/10.3103/S0146411621080162 Text en © Allerton Press, Inc. 2021, ISSN 0146-4116, Automatic Control and Computer Sciences, 2021, Vol. 55, No. 8, pp. 1121–1128. © Allerton Press, Inc., 2021.Russian Text © The Author(s), 2020, published in Problemy Informatsionnoi Bezopasnosti, Komp’yuternye Sistemy. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Kozachok, A. V.
Kozachok, V. I.
Spirin, A. A.
An Encrypted File Detection Algorithm
title An Encrypted File Detection Algorithm
title_full An Encrypted File Detection Algorithm
title_fullStr An Encrypted File Detection Algorithm
title_full_unstemmed An Encrypted File Detection Algorithm
title_short An Encrypted File Detection Algorithm
title_sort encrypted file detection algorithm
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8886193/
http://dx.doi.org/10.3103/S0146411621080162
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