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Abstract-Near

Abstract-Near Field Communication (NFC) technology is based on a short range radio communication channel which enables users to exchange data between devices. With NFC technology, mobile services establish a contactless transaction system to make the payment methods easier for people. Although NFC mobile services have great potential for growth, they have raised several issues which have concerned the researches and prevented the adoption of this technology within societies.Reorganizing and describing what is required for the success of this technology have motivated us to extend the current NFC ecosystem models to accelerate the development of this business area. In this paper, we introduce a new NFC payment application, which is based on our previous "NFC Cloud Wallet" model [1] to demonstrate a reliable structure of NFC ecosystem. We also describe the step by step execution of the proposed protocol in order to carefully analyse the payment application and our main focus will be on the Mobile Network Operator (MNO) as the main player within the ecosystem.

Abstract-Counterfeit products have been a major concern in global market. There are many procedures for preventing the counterfeiting of goods, such as holograms, tamper-resistant packaging etc. However, there is still a rising trend in counterfeit goods. With the emergence of RFID systems, supply chain management is able to detect counterfeit products relatively easily. Existing techniques generally involve a centralized database and can only be implemented in an online scenario. This deprives the individual customers of using any authentication mechanism while making purchases due to the infeasibility of accessing a central database.In this paper, we analyze a recently published semi-offline scheme proposed by Alex et al. We identify limitations and weaknesses in this scheme and suggest solutions. We modify the framework to remove the main weakness and extend it to the consumer level so that a consumer can determine the legitimacy of a product. This involves Near Field Communication technology (NFC) which is now widely available in cell phones -the consumer's cell phone acts as an RFID reader and detects counterfeit products. Our solution is completely offline as it does not require a central database for product authentication. It is based on Public Key Cryptography (PKC) and a Public Key Infrastructure (PKI). It offers dual layer authentication mechanisms to customers, visual and cryptographic, without accessing the supplier's database. The main beneficiary of the proposed framework is the consumer who uses the Internet for online shopping and can authenticate a product reliably after delivery. Our scheme is stand-alone and does not require the transfer of any secret values from a centralized authority.

Abstract-Near Field Communication (NFC) is a short range wireless technology that provides contactless transmission of data between devices. With an NFC enabled device, users can exchange information from one device to another, make payments and use their NFC enabled device as their identity. As the main payment ecosystem players such as service providers and secure element issuers have crucial roles in a multi-application mobile environment similar to NFC, managing such an environment has become very challenging. One of the technologies that can be used to ensure secure NFC transaction is cloud computing which offers wide range of advantages compare to the use of a Secure Element (SE) as a single entity in an NFC enabled phone. This approach provides a comprehensive leadership of the cloud provider towards managing and controlling customer's information where it allows the SE which is stored within an NFC phone to deal with authentication mechanisms rather than storing and managing sensitive transaction information. This paper discusses the NFC cloud Wallet model which has been proposed by us previously [1] and introduces a different insight that defines a new integrated framework based on a trusted relationship between the vendor and the Mobile Network Operator (MNO). We then carry out an analysis of such a relationship to investigate different possibilities that arise from this approach.