Intelligent Mechanisms for Extracting Signs of File Modification in Dynamic Virus Analysis

IF 0.6 Q4 AUTOMATION & CONTROL SYSTEMS AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2025-03-14 DOI:10.3103/S0146411624700810
S. G. Fomicheva, O. D. Gayduk
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引用次数: 0

Abstract

This paper proposes machine-learning pipelines that allow automatically generating the relevant feature spaces for virus detectors, detect the presence of viral modifications in JS-files and scripts in real time, and interpret and visualize the automatically obtained machine solution. It is shown that the best quality metrics will be demonstrated by models of an abstract syntactic tree using binary classifiers based on ensembles of decision trees. An explanation of the solution automatically generated by the virus detector is demonstrated.

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来源期刊
AUTOMATIC CONTROL AND COMPUTER SCIENCES
AUTOMATIC CONTROL AND COMPUTER SCIENCES AUTOMATION & CONTROL SYSTEMS-
CiteScore
1.70
自引率
22.20%
发文量
47
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
期刊最新文献
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