Securing System using Lossless Computational Fuzzy Extractor for IOT

Abstract

With the increase in the usage over the internet over the globe ,the security regarding the confidentiality of the data that is being transferred and received while Internet is being used is the area of major concern. In the recent years, the increase in the use and development in IoT has made it necessary to facilitate keys storage that is cost efficient. The traditional methods that were used before ,proved to be expensive for key storage. An alternative solution for cost minimization, keys were being generated using the noisy entropy. The keys could be secured and made cost efficient when bounded with fuzzy extractor which also made the keys strong cryptographically. To balance the entropy loss at the time of key extraction process, the theoretical fuzzy extractors needed a enormous range of input entropy. According to the study proposed in Fuller et al the entropy loss can be minimized with the study of error problems.The server device authentication could be made more scalable and robust by using the Computational Fuzzy Extractor.The paper focuses on storage,efficiency and entropy loss and we are using lossless Computational Fuzzy Extractor,where the entropy key and the source entropy are equal to one another other.The proposed system shows how device server authentication can be provided, also we compare our work with already in use system in used on the basis of security where we are exacting to achieve zero entropy loss.