Abstract
In the light of the development that are daily done in the internet and wireless networks, E-commerce systems received a lot of attention, where it can makes our life easily. In such systems, the customer is forced to send his/her order based on his real location. After the performing the order, the customer pays using his/her own Visa card. However, the information contained in the Visa card and those included in the sent order may reveal sensitive information about the customer. Therefore, the privacy of the customer must be protected when dealing with the E-commerce systems. In this paper, we introduce a system that ensures the privacy of the E-commerce systems' users. Specifically, we introduce a novel fragmentation based technique (FBT) to protect the privacy of the information included in the Visa cards. In regards to the information included in the sent order, we propose two approaches: Adopted k-Anonymity Approach (AkA), which protects the Identity of the customer and Smart Location Transformation (SLT) to protect the location privacy of the customer. Our proposed approaches showed a higher privacy protection and better performance in relative to the previous approaches.