Cited By
View all- Balogh ZMészáros K(2021)Hamisított termék vásárlásának kockázata az internetenStudia Mundi – Economica10.18531/Studia.Mundi.2021.08.01.2-138:1(2-13)Online publication date: 28-Mar-2021
Counterfeiting scalable detection image based system for e-commerce
Pages 1914 - 1919
Abstract
Counterfeiting in e-commerce raises issues this paper addresses through a specialized large-scale reverse image search engine called e-CoS, with a serverless based architecture for high performance. The system is tested in the area of online counterfeiting with promising results. In order to generalize the solution unprecedented cooperation and information sharing are required between all stakeholders of e-commerce with a key part being reserved for the general public. The prospect of such mass adoption is made possible by the growing ethical concerns of modern-day consumers, fueled by the enormous negative social and economic impact of counterfeiting.
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Index Terms
- Counterfeiting scalable detection image based system for e-commerce
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Published In
March 2020
2348 pages
ISBN:9781450368667
DOI:10.1145/3341105
- Conference Chairs:
- Chih-Cheng Hung,
- Tomas Cerny,
- Program Chairs:
- Dongwan Shin,
- Alessio Bechini
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Published: 30 March 2020
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- Ministry of Research and Innovation
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SAC '20
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SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing
March 30 - April 3, 2020
Brno, Czech Republic
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View all- Balogh ZMészáros K(2021)Hamisított termék vásárlásának kockázata az internetenStudia Mundi – Economica10.18531/Studia.Mundi.2021.08.01.2-138:1(2-13)Online publication date: 28-Mar-2021
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