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Bridging Theory and Practice

A Hybrid Malware Detection System with 3D Propagation Visualization for Cybersecurity Training

Bibliographic Data

ID13133045
AuthorsDino Jhoel Condori-Churata (Universidad Nacional del Altiplano, corresponding author), Yarin Nilo Laqui-Huilahuaña (Universidad Nacional del Altiplano), Joel Edson Huerta-Barrantes (Universidad Nacional del Altiplano), Robert Antonio Romero-Flores (Universidad Nacional del Altiplano), Hugo Yosef Gomez-Quispe (Universidad Nacional del Altiplano), Giovana Araseli Flores-Turpo (Universidad Nacional del Altiplano), Wily Leopoldo Velásquez-Velásquez (Universidad Nacional del Altiplano)
Year2025
Volume5
Issue9
Publication date2025-09-10
Open AccessYes
TypeARTICLE
VenueJournal of Posthumanism (JOURNAL)
Journal identifiersISSN: 2634-3576 • E-ISSN: 2634-3584
PublisherNobel Press Resources (PUBLISHER)
DOI10.63332/joph.v5i9.3335
OpenAlexW4414108425
LanguageEN

This study presents an innovative pedagogical approach to cybersecurity education through the development of an interactive malware propagation simulation. The system integrates a hybrid detection model, combining SHA-256 signature analysis, a proprietary heuristic engine, and file verification using the WinTrust API, in addition to system-level monitoring through Microsoft Defender’s command-line interface. Its main contribution lies in a dynamic visualization module that represents malware propagation in a virtual network of nodes, displaying states such as healthy, infected, or immune through color-coded graphics. This interactive component allows real-time observation and experimentation with infection dynamics, effectively bridging theory and practice. Tests demonstrated its ability to identify suspicious files and simulate various propagation scenarios, validating its potential as an educational resource in cybersecurity

Bridging (networking · Component (thermodynamics · Data visualization · Heuristic · Malware · Signature (topology · Visualization · Advanced Malware Detection Techniques · Digital and Cyber Forensics · Network Security and Intrusion Detection

Highly citedNo

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Open DOIOpen Access
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