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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Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches

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