TSM centric privacy preserving NFC mobile payment framework with formal verification

Near field communication is on the verge of broad adoption worldwide as the NFC controllers and Secure Elements (SEs) are now commonplace components in many models of smart phones and point of sale devices currently available in the market. The combination of NFC and smart devices are making the way of life more easier for millennials. Data aggregation is a common phenomena in any e-commerce method. From the aggregated data, sensitive consumer information can be predicted using predictive data mining approaches. Consumers are not aware of their information privacy breach. The business models of the e-commerce industry players are designed in such a way that they can make use of their customers information to enhance their profitability by offering customer friendly services. Ultimately consumer's sensitive information potentially sits on unsafe retailer's sever on which consumer has no control and hackers can always potentially find a way into a system. This paper proposes a new TSM centric privacy preserving framework and a protocol for NFC based proximity payments which prevents consumer data from ever touching a merchant's server where the majority of data breaches occur. The correctness of proposed privacy preserving NFC payment protocol is ensured here via formal modeling and verification using Proverif.