Securing MIFARE data in the cloud environment using adaptive file comparison technique

Abstract

Cloud is an emerging field where many industries and business people go for mass data storage in real time environment The problem with cloud is its security Since it is a distributed environment anybody can view the data stored in the cloud database and can modify the data or even delete the data stored in the cloud database The data is extracted from a MIFARE tag and is done through MIFARE reader The extracted data is pre processed and the noiseless data is stored in a secured server system s database and a copy is stored in the cloud database In distributed environment any user can access the file stored in the cloud To ensure security the proposed work introduces the Token Computation method Before file distribution the user precomputes a certain number of short verification tokens The file is divided into different sets of values named as tokens and the tokens are combined to form a block The tokens are ASCII values of the data in the file Each token covering a certain row in the file is converted into matrix by using the allocated tokens The token is computed twice First before encoding a token is computed for the file and next when retrieving the file from the server The client computed token and the server computed token are compared before encoding if they are same then it is ensured that newlineno modification is made in the stored file If the token does not match then it makes sure that some of the stored data is modified newline