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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM20977
Volume:
7 |
5 |
May 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Modern affiliate marketing networks offer a framework for bringing together businesses looking for clients and independent marketers (affiliates) looking for income. To determine which affiliate should be paid a commission at checkout, this strategy relies on web cookies. Scammers exploit this money to their advantage by “stuffing” their own cookies into a user’s browser. This study offers a measurement-based description of cookie-stuffing fraud in affiliate marketing online. In order to gather information from the millions of crawled domains that we anticipate would be targeted by dishonest affiliates, we employ a specially developed Chrome extension called Offtrack to detect affiliate cookies. Despite some notable historical precedents, we discovered that cookie-stuffing fraud was generally uncommon in our data set. However, we determine which categories of fraud to target based on the types of fraud we.
KEYWORDS
Publication Date
11/4/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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