Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches

Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches

<p dir="ltr">Most companies nowadays are using digital platforms for the recruitment of new employees to make the hiring process easier. The rapid increase in the use of online platforms for job posting has resulted in fraudulent advertising. The scammers are making money through fra...

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Bibliographic Details
Main Author: Natasha Akram (20749538) (author)
Other Authors: Rabia Irfan (5894873) (author), Ahmad Sami Al-Shamayleh (17541495) (author), Adila Kousar (20749541) (author), Abdul Qaddos (20748779) (author), Muhammad Imran (282621) (author), Adnan Akhunzada (20151648) (author)
Published: 2024
Subjects:
Commerce, management, tourism and services
Human resources and industrial relations
Human society
Criminology
Information and computing sciences
Artificial intelligence
Cybersecurity and privacy
Data management and data science
Human-centred computing
Machine learning
Class imbalance
Data augmentation
Deep learning
Employment scam
Fraud detection
Online recruitment
SMOTE
Transformer-based models
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