Fraud in Online Classified Ads: Strategies, Risks, and Detection Methods: A Survey-Reference-Cited by-同舟云学术

Fraud in Online Classified Ads: Strategies, Risks, and Detection Methods: A Survey

Published:2022-09-22 Issue: Volume: Page:1-25
ISSN:1936-1610
Container-title:Journal of Applied Security Research
language:en
Short-container-title:Journal of Applied Security Research

Author:

Alzghoul Jamil R.¹,Abdallah Emad E.²,Al-khawaldeh Abdel-hafiz S.³

Affiliation:

1. Cyber Security and Information Technology Department, Jordan Armed Forces, Amman, Jordan

2. Department of Information Technology, Faculty of Prince Al-Hussein Bin Abdullah II for Information Technology, The Hashemite University, Zarqa, Jordan

3. University Education Department, Jordan Armed Forces, Amman, Jordan

Publisher

Informa UK Limited

Subject

Law,Safety Research,Safety, Risk, Reliability and Quality,Education

Link

https://www.tandfonline.com/doi/pdf/10.1080/19361610.2022.2124328

Reference54 articles.

1. Click Fraud Detection and Prevention System for Ad Networks

2. Al-rousan, S., Abuhussein, A., Alsubaei, F., Collen, L. & Shiva, S. (2020). Ads-guard: Detecting scammers in online classified ads [Paper presentation]. 2020 IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, Australia.

3. Al-rousan, S., Abuhussein, A., Alsubaei, F., Kahveci, O., Farra, H. & Shiva, S. (2020). Social-guard: Detecting scammers in online dating [Paper presentation]. IEEE International Conference on Electro Information Technology, Chicago, IL (pp. 416–422). https://doi.org/10.1109/EIT48999.2020.9208268

4. A Heuristic Method for Identifying Scam Ads on Craigslist

5. Controlling risks and fraud in affiliate marketing: A simulation and testing environment

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