Predicting Online Job Recruitment Fraudulent Using Machine Learning-Reference-Cited by-同舟云学术

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Predicting Online Job Recruitment Fraudulent Using Machine Learning

Published:2023 Issue: Volume: Page:719-733
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Mouri Ishrat Jahan,Barua Biman,Mesbahuddin Sarker M.,Barros Alistair,Whaiduzzaman Md

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-7753-4_55

Reference18 articles.

1. Lal S, Jiaswal R, Sardana N, Verma A, Kaur A, Mourya R (2019) ORFDetector: ensemble learning based online recruitment fraud detection. In: 2019 twelfth international conference on contemporary computing (IC3). IEEE, pp 1–5

2. Vidros S, Kolias C, Kambourakis G (2016) Online recruitment services: another playground for fraudsters. Comput Fraud Secur 2016(3):8–13

3. Alghamdi B, Alharby F (2019) An intelligent model for online recruitment fraud detection. J Inf Secur 10(03):155

4. Vidros S, Kolias C, Kambourakis G, Akoglu L (2017) Automatic detection of online recruitment frauds: characteristics, methods, and a public dataset. Future Internet 9(1):6

5. Suryanto T, Rahim R, Ahmar AS (2018) Employee recruitment fraud prevention with the implementation of decision support system. In: Journal of physics: conference series, vol 1028, no. 1. IOP Publishing, p 012055

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Automatic Yard Monitoring and Humidity Controlling System Based on IoT;2023 International Conference on Advanced Computing & Communication Technologies (ICACCTech);2023-12-23

2. On Campus Student Recruitment Analysis using Machine Learning techniques;2023 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT);2023-07-14

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