Detecting the operation of keyloggers using the dendritic cell algorithm with multiple resolutions

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dc.contributor.authorShybaiev, Hennadii
dc.contributor.authorGalchynskyi, Leonid
dc.date.accessioned2026-02-26T09:30:23Z
dc.date.available2026-02-26T09:30:23Z
dc.date.issued2025
dc.description.abstractThroughout time, criminologists (or their colleagues in history) have tried to develop the most reliable methods of protecting information. Currently, the most common method of information processing is the computer, so today's information protection specialists face the task of protecting data in computers, in which the most common method of information input is data input from the keyboard by the user. Keystroke logging, also known as keylogging, consists in intercepting keystroke codes from the user. This data may contain passwords, personal correspondence, or other confidential information. Therefore, it is very important to pay attention to this method of user interaction with your "machine", because it is through this method that an attacker can steal information directly from the keyboard. Unlike traditional malware such as worms or viruses, some types of keyloggers cannot be detected by modern antivirus protection methods. The paper presents the results of a study of the application of the dendritic cell algorithm with multiple resolutions for the task of determining the presence of a keylogger in the system. Based on the simulation, a new effective model for determining the presence of a keylogger is proposed
dc.format.pagerangeP. 53-63
dc.identifier.citationShybaiev, H. Detecting the operation of keyloggers using the dendritic cell algorithm with multiple resolutions / Hennadii Shybaiev, Leonid Galchynskyi // Theoretical and Applied Cybersecurity: scientific journal. – 2025. – Vol. 7, No. 2. – P. 53-63. – Bibliogr.: 18 ref.
dc.identifier.doihttps://doi.org/10.20535/tacs.2664-29132025.2.337840
dc.identifier.orcid0000-0002-3805-1474
dc.identifier.urihttps://ela.kpi.ua/handle/123456789/79068
dc.language.isoen
dc.publisherIgor Sikorsky Kyiv Polytechnic Institute
dc.publisher.placeKyiv
dc.relation.ispartofTheoretical and Applied Cybersecurity: scientific journal, Vol. 7, No. 2
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/deed.uk
dc.subjectkeylogger
dc.subjectAPI functions
dc.subjectdetection
dc.subjectdendritic cell algorithm
dc.subjectmultiple resolution
dc.subjectwavelet transform
dc.subjectinterrupt request
dc.subjectDCA
dc.subjectHIS
dc.subject.udc004.457
dc.titleDetecting the operation of keyloggers using the dendritic cell algorithm with multiple resolutions
dc.typeArticle

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Theoretical and Applied Cybersecurity: scientific journal, Vol. 7, No. 2