Leveraging Custom CNN and ResNet Architectures for Identifying Deviant Personality Traits in Cyber Threat Detection Using the Five Factor Model

ROCYS is a knowledge resource for practitioners, scientists, and researchers working in various fields of cyber security, hacking, digital forensics, cyber warfare, viruses and worms domain or critical infrastructure protection area.

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Publication Details

Journal
Romanian Cyber Security Journal
Published
2024-12-04
DOI
https://doi.org/10.54851/v6i2y202406
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Leveraging Custom CNN and ResNet Architectures for Identifying Deviant Personality Traits in Cyber Threat Detection Using the Five Factor Model

Iustin Floroiu
Romanian Cyber Security Journal
Advanced Malware Detection Techniques
article

Leveraging Custom CNN and ResNet Architectures for Identifying Deviant Personality Traits in Cyber Threat Detection Using the Five Factor Model

Iustin Floroiu
article en

Abstract

ROCYS is a knowledge resource for practitioners, scientists, and researchers working in various fields of cyber security, hacking, digital forensics, cyber warfare, viruses and worms domain or critical infrastructure protection area.

Romanian Cyber Security JournalVol. 6(2)
National Institute for Research and Development in Informatics - ICI Bucharest (RO)
Openalex Percentile: Top 76%
Advanced Malware Detection Techniques
DOIOpen Access PDFOpenAlex
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Leveraging Custom CNN and ResNet Architectures for Identifying Deviant Personality Traits in Cyber Threat Detection Using the Five Factor Model — Iustin Floroiu · Romanian Cyber Security Journal (2024) | TGRS Research Map | TGRS