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Buying counterfeit items at a cheap price may seem harmless. However, most people do not realize they are funding the terrorist and organized crime organization. Many criminals sell counterfeit goods online as part of money laundering and bring the proceeds funding other types of serious organized crime such as human trafficking or labor exploitation. Counterfeit products are often produced in un-sanitized and un-hygienic factories run by organized crime that violate labor laws, basic human rights, and environmental laws. Many workers, including children, are coerced through a form of modern-day slavery.
According to the United Nations Office of Drugs and Crime (UNODC), counterfeit and pirated goods are worth nearly half a trillion dollars a year. As much as 70% of those illicit proceeds would have also been laundered, partly if not wholly through financial institutions of varying size.
Online fraud is especially problematic in Southeast Asia, where an online transaction has 12 times more likely to be fraudulent than the global average. It cost retailers an estimated US$57.8 billion globally in 2017, posing a significant problem.
While this problem still at large, only a smaller number of e-commerce platforms have enough resources to develop a mechanism to fight this problem. This is due to the limitation of the information and difficulty to validate the authenticity of the goods. The problem is more serious in emerging markets such as Africa where there is a sharp contrast in e-commerce development between different countries in the region.
Therefore is the origin of the project which aims to develop a system for monitoring and detect online fraud and counterfeit by utilizing government open data on intellectual property and cooperation from consumer's feedback.
In detail, we adopt the concept of Suspicious Activity Report (SAR), a document that financial institutions must file following a suspected incident of money laundering or fraud, and implement it in a more intuitive and user-friendly for e-commerce shopper.
On the consumer side, the system will use AI to detect and tell them that the product they are about to purchase came from a valid seller while the brand owner knows when and where their brand has been hijacked or infringed.
Ms.Nitchaphat Sattirapiphatkul, Mr.Anugoon Leelaphattarakij, Mr.Komsit Rattana
https://drive.google.com/file/d/10-d0-HcuwK36v-5b1yWg41ioUN41pxPb/view?usp=sharing
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