Internet-Based Anti-Counterfeiting Pattern with Using Big Data in China

Cloud-based trading platforms have become a broadly accepted business approach in China. Flexible and scalable online services have brought enormous benefits for e-commerce. However, many cloud-based e-commerce providers are encountering a serious challenge from counterfeits, which is already harmful for many Chinese e-commerce companies. This paper addresses anti-counterfeit issues and proposes a novel mechanism for proactively prevent counterfeits in the Chinese context. The proposed paradigm also considers the cost-benefit and profit-maximizations. The model was evaluated by the case study research with examining various use cases. Four use cases are represented in this paper and the outcomes of the use cases proved the efficiency of the proposed model.