Detecting Encrypted and Unencrypted Network Data Using Entropy Analysis and Confidence Intervals

被引：0

作者：

Ticleanu, Oana-Adriana ^{[1
]}

Popa, Teodora ^{[1
]}

Hunyadi, Daniel Ioan ^{[1
]}

Constantinescu, Nicolae ^{[1
]}

机构：

[1] Lucian Blaga Univ Sibiu, Fac Sci, Dept Math & Informat, Sibiu 550024, Romania

来源：

ENTROPY | 2023年 / 25卷 / 03期

关键词：

encrypted data detection; data entropy;

D O I：

10.3390/e25030397

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

The detection of clear and encrypted data that are transported through computer networks is of particular importance both for protecting the data and the users to whom they belong and to whom they are intended, as well as the networks through which they are transmitted. The proposed method consists of an algorithm that classifies the data it receives by testing the belongingness of their standard deviation values to established confidence intervals. Following the evaluation of the algorithm, an accuracy of 94.73% was obtained and it appears that the results can be used with certainty in subsequent analyses of the data detection.

引用

页数：13

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