Research On Key Technologies,Based On NFC Security

In recent years,as counterfeit equipment and means continue to improve,the traditional single anti-counterfeiting technology has been unable to meet the needs of the market,fake goods after another,and involves all areas of the market,aroused great concern around the world.Traditional electronic tags through a unique serial number for security,that it is highly secure and difficult to counterfeit.However,this kind of electronic label because of its carrying silicon chip,resulting in its production cost is high and the production efficiency is also limited to some extent,at the same time it relies solely on the label’s unique sequence for anti-counterfeiting and does not achieve a high level of security,the need to use innovative mechanism to improve its safety.In order to solve the problem of data security in QRcode and the high cost of traditional electronic tags in carrying chips,this paper proposes to integrate two security technologies:QRcode and chipless tags that fully printed.Then the third-party reading device achieves the purpose of security by interacting with the intelligent terminal through the NFC communication protocol.The chipless tag antenna was designed by HFSS and simulated under the ideal boundary conditions.After optimization,we found that it could record data effectively,and both the physical size and the capacity of recordable data were in the design range Inside.At the same time,anti-counterfeiting and information hiding technology based on halftone-dot features have unique anti-duplication characteristics.However,this anti-counterfeiting method places very strict requirements on image acquisition and processing in terms of information identification and authenticity identification.This technical requirement is to provide a high-resolution macro-imaging control technology based on the feature of halftone-dot collected by iPhone and based on the Xcode development environment and ZXing Jar,and obtain high-resolution anti-counterfeit images based on Least squares method proposed an image sharpness estimation algorithm,which effectively solves the technical bottleneck problem of halftone-dot information and the security problem of QRcode.