Enhanced SVM-based model for predicting cyberspace vulnerabilities: Analyzing the role of user group dynamics and capital influx.
Amid substantial capital influx and the rapid evolution of online user groups, the increasing complexity of user behavior poses significant challenges to cybersecurity, particularly in the domain of vulnerability prediction. This study aims to enhance the accuracy and practical applicability of cybe...
Saved in:
| Main Author: | Yicheng Long |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0327476 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
LEGAL LABYRINTH OF CYBERSPACE – A MAP FOR THE RESPONSIBLE USER
by: Kamil Martyniak
Published: (2024-12-01) -
Analyzing and Mitigating Bias for Vulnerable Road Users by Addressing Class Imbalance in Datasets
by: Dewant Katare, et al.
Published: (2025-01-01) -
SVM Based Classification Mapping for User Navigation
by: Jing-Ling Yuan, et al.
Published: (2009-01-01) -
Consumer Protection in Cyberspace
by: Oscar H. Gandy, Jr.
Published: (2011-06-01) -
Teen Safety in Cyberspace
by: Kate Fogarty
Published: (2011-04-01)