Using Entropy Metrics to Detect Data Integrity Attacks in Real Time

IF 0.5 Q4 AUTOMATION & CONTROL SYSTEMS

AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2026-02-24 DOI:10.3103/S0146411625701019

T. D. Ovasapyan, T. A. Bondarenko, A. A. Piskov

引用次数: 0

Abstract

Existing methods for detecting attacks on data integrity in file systems are studied. A detection method based on the use of several entropy metrics is proposed. The effectiveness of the proposed method is evaluated using the example of detecting existing ransomware programs.

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利用熵度量实时检测数据完整性攻击

研究了现有的文件系统数据完整性攻击检测方法。提出了一种基于多个熵度量的检测方法。通过对现有勒索软件程序的检测，对该方法的有效性进行了评价。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

AUTOMATIC CONTROL AND COMPUTER SCIENCES AUTOMATION & CONTROL SYSTEMS-

CiteScore

1.70

自引率

22.20%

发文量

期刊介绍： Automatic Control and Computer Sciences is a peer reviewed journal that publishes articles on• Control systems, cyber-physical system, real-time systems, robotics, smart sensors, embedded intelligence • Network information technologies, information security, statistical methods of data processing, distributed artificial intelligence, complex systems modeling, knowledge representation, processing and management • Signal and image processing, machine learning, machine perception, computer vision