Analysis of third-party request structures to detect fraudulent websites-Reference-Cited by-同舟云学术

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Analysis of third-party request structures to detect fraudulent websites

Published:2022-03 Issue: Volume:154 Page:113698
ISSN:0167-9236
Container-title:Decision Support Systems
language:en
Short-container-title:Decision Support Systems

Author:

Gopal Ram D.,Hojati Afrouz,Patterson Raymond A.

Publisher

Elsevier BV

Subject

Information Systems and Management,Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Information Systems,Management Information Systems

Reference58 articles.

1. Real or not? Identifying untrustworthy news websites using third-party partnerships;Gopal;ACM Trans. Manag. Inform. Syst. (TMIS),2020

2. The role of online trading communities in managing Internet auction fraud;Chua;MIS Q.,2007

Cited by 5 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. Data Sharing Between Firms and Social Planners: An Economic Analysis of Regulation, Privacy, and Competition;Service Science;2024-09

2. A world of counterfeits: Knowledge to decide;Journal of Consumer Behaviour;2024-01-17

3. Web Scams Detection System;Lecture Notes in Computer Science;2024

4. Double-Constrained Consensus Clustering with Application to Online Anti-Counterfeiting;Applied Sciences;2023-09-06

5. An Intelligent Based Symmetrical Classification of Online Shop Selling Counterfeit Products;Symmetry;2022-10-13

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