An Intelligent Model for Online Recruitment Fraud Detection

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Journal of Information Security

ISSN Print: 2153-1234
ISSN Online: 2153-1242
www.scirp.org/journal/jis
E-mail: jis@scirp.org

Google-based Impact Factor: 3.79
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"An Intelligent Model for Online Recruitment Fraud Detection"
written by Bandar Alghamdi, Fahad Alharby,
published by Journal of Information Security, Vol.10 No.3, 2019

has been cited by the following article(s):

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CrossRef

[1]	A smart secured framework for detecting and averting online recruitment fraud using ensemble machine learning techniques
	PeerJ Computer Science, 2023

[2]	Online Fake Logo Detection System
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[3]	FAKE JOB DETECTION USING MACHINE LEARNING APPROACH
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[4]	Machine Learning Techniques for True and Fake Job Posting
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[5]	A machine learning approach to detecting fraudulent job types
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[6]	Reveal: Online Fake Job Advert Detection Application using Machine Learning
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[7]	Effective Identification of Spam Jobs Postings Using Employer Defined Linguistic Feature
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[8]	Online fake job advertisement recognition and classification using machine learning
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[9]	ONLINE JOB SCAM DETECTION USING SMART SYSTEM
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[10]	A Comparative Analysis of Fraudulent Recruitment Advertisement Detection Methods in the IoT Environment
	Journal of Sensors, 2022

[11]	Online Recruitment Fraud Detection: A Study on Contextual Features in Australian Job Industries
	IEEE Access, 2022

[12]	Detecting fraud job recruitment using features reflecting from real-world knowledge of fraud
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[13]	Recruitment Scam Detection Using Gated Recurrent Unit
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[14]	Detecting online recruitment fraud by using machine learning
	2021

[15]	Detecting Fake News Over Job Posts via Bi-Directional Long Short-Term Memory (BIDLSTM)
	International Journal of Web-Based Learning …, 2021

[16]	Exploratory methods for imbalanced data classification in online recruitment fraud detection: A comparative analysis
	… 4th International Conference on Computing and …, 2021

[17]	Online recruitment fraud detection using ANN
	… Conference on Information …, 2021

[18]	Detecting online recruitment fraud using machine learning
	2021 9th International …, 2021

[19]	Artificial intelligence based Fake Job Recruitment Detection Using Machine Learning Approach
	2021

[20]	Spy the Lie: Fraudulent Jobs Detection in Recruitment Domain using Knowledge Graphs
	2021

[21]	Performance Comparison of Two Class Boosted Decision Tree snd Two Class Decision Forest Algorithms in Predicting Fake Job Postings
	2021

[22]	Ensemble Modeling on Job Scam Detection
	2021

[23]	A Comparative Study on Fake Job Post Prediction Using Different Data mining Techniques
	2021

[24]	Fake Job Detection and Analysis Using Machine Learning and Deep Learning Algorithms
	2021

[25]	Recruitment Fraud: Increased opportunities for exploitation in times of uncertainty?
	Smith - Social Alternatives, 2021

[26]	Recruitment through Job Portals: A Critical Investigation of MBA Students in Pune City
	2020

[27]	Smart Fraud Detection Framework for Job Recruitments
	2020

[28]	Flood Inundation Mapping of Cempaka Tropical Cyclone Effect in Gunung Sewu Karst Landscape Using Sentinel 1
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[29]	Fake Job Recruitment Detection Using Machine Learning Approach
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[30]	Breast Cancer Prognosis Using Stacking Ensemble
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[31]	Supervisors: JN van Rijn (LIACS) & A. Mashaghi Tabari (LACDR)


[32]	FAKE JOB RECRUITMENT DETECTION USING MACHINE LEARNING


[33]	Classification of Genuinity in Job Posting Using Machine Learning


[34]	Text Mining im Personalmanagement

[1]	Constructing an Investment Scam Detection Model Based on Emotional Fluctuations Throughout the Investment Scam Life Cycle Deviant Behavior, 2024 DOI:10.1080/01639625.2023.2244115

[2]	A smart secured framework for detecting and averting online recruitment fraud using ensemble machine learning techniques PeerJ Computer Science, 2023 DOI:10.7717/peerj-cs.1234

[3]	Predicting Fraudulant Job Ads with Machine Learning International Journal of Advanced Research in Science, Communication and Technology, 2023 DOI:10.48175/IJARSCT-9123

[4]	An investigation of crowdsourcing methods in enhancing the machine learning approach for detecting online recruitment fraud International Journal of Information Management Data Insights, 2023 DOI:10.1016/j.jjimei.2023.100167

[5]	Fake News Detection Using Machine Learning 2023 International Conference on Computer Communication and Informatics (ICCCI), 2023 DOI:10.1109/ICCCI56745.2023.10128339

[6]	Constructing an Investment Scam Detection Model Based on Emotional Fluctuations Throughout the Investment Scam Life Cycle Deviant Behavior, 2023 DOI:10.1080/01639625.2023.2244115

[7]	Fake News Detection Using ML and DL Approaches 2023 International Conference on Circuit Power and Computing Technologies (ICCPCT), 2023 DOI:10.1109/ICCPCT58313.2023.10245398

[8]	Fake News Detection Using Machine Learning 2023 International Conference on Computer Communication and Informatics (ICCCI), 2023 DOI:10.1109/ICCCI56745.2023.10128339

[9]	Reveal: Online Fake Job Advert Detection Application using Machine Learning 2022 IEEE Delhi Section Conference (DELCON), 2022 DOI:10.1109/DELCON54057.2022.9752784

[10]	A Comparative Study on the Prediction of Fake Job Posts using Various Data Mining Techniques International Journal of Advanced Research in Science, Communication and Technology, 2022 DOI:10.48175/IJARSCT-5733

[11]	Online Recruitment Fraud Detection: A Study on Contextual Features in Australian Job Industries IEEE Access, 2022 DOI:10.1109/ACCESS.2022.3197225

[12]	Effective Identification of Spam Jobs Postings Using Employer Defined Linguistic Feature 2022 1st International Conference on AI in Cybersecurity (ICAIC), 2022 DOI:10.1109/ICAIC53980.2022.9897059

[13]	A Comparative Analysis of Fraudulent Recruitment Advertisement Detection Methods in the IoT Environment Journal of Sensors, 2022 DOI:10.1155/2022/4583512

[14]	Recruitment Scam Detection Using Gated Recurrent Unit 2022 IEEE 10th Region 10 Humanitarian Technology Conference (R10-HTC), 2022 DOI:10.1109/R10-HTC54060.2022.9929928

[15]	Exploratory Methods for Imbalanced Data Classification in Online Recruitment Fraud Detection: A Comparative Analysis 2021 4th International Conference on Computing and Big Data, 2021 DOI:10.1145/3507524.3507537

[16]	Detecting Fake News Over Job Posts via Bi-Directional Long Short-Term Memory (BIDLSTM) International Journal of Web-Based Learning and Teaching Technologies, 2021 DOI:10.4018/IJWLTT.287096

[17]	Detecting Online Recruitment Fraud Using Machine Learning 2021 9th International Conference on Information and Communication Technology (ICoICT), 2021 DOI:10.1109/ICoICT52021.2021.9527477

[18]	Online Recruitment Fraud Detection using ANN 2021 Palestinian International Conference on Information and Communication Technology (PICICT), 2021 DOI:10.1109/PICICT53635.2021.00015

[19]	A Comparative Study on Fake Job Post Prediction Using Different Data mining Techniques 2021 2nd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), 2021 DOI:10.1109/ICREST51555.2021.9331230

[20]	Exploratory Methods for Imbalanced Data Classification in Online Recruitment Fraud Detection: A Comparative Analysis 2021 4th International Conference on Computing and Big Data, 2021 DOI:10.1145/3507524.3507537

[21]	Detecting Fake News Over Job Posts via Bi-Directional Long Short-Term Memory (BIDLSTM) International Journal of Web-Based Learning and Teaching Technologies, 2021 DOI:10.4018/IJWLTT.287096

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