Enhancing Social Media User’s Trust: A Comprehensive Framework for Detecting Malicious Profiles Using Multi-Dimensional Analytics
Information transparency, user privacy, and digital security are significantly vulnerable to the proliferation of counterfeit bot accounts on OSN. Traditional methods for distinguishing these accounts archetypally depend on an inadequate set of features, which hampers their effectiveness in contrast...
Saved in:
Main Authors: | Sailaja Terumalasetti, S. R. Reeja |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10813172/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Malicious user detection in Momo application based on spatio-temporal behavior and static attribute analysis
by: YANG Haifeng, et al.
Published: (2024-08-01) -
Securing Authentication and Detecting Malicious Entities in Drone Missions
by: Nicolae Constantinescu, et al.
Published: (2024-12-01) -
Review of iOS malicious application analysis
by: Yixiang ZHU, et al.
Published: (2017-02-01) -
ArabFake: A Multitask Deep Learning Framework for Arabic Fake News Detection, Categorization, and Risk Prediction
by: Ahmed Maher Khafaga Shehata, et al.
Published: (2024-01-01) -
Endogenous detection framework of malicious behavior in information network
by: Zhe TU, et al.
Published: (2020-10-01)