ICN Scheme and Proxy re-encryption for Privacy Data Sharing on the Block Chain

Abstract

Data sharing has emerged as one of the most useful applications in cloud computing of the Internet of Things. As interesting this technology is, data security is always a challenge, as improper data use causes a variety of problems. We suggest a ICN Information Centric Networking and proxy re-encryption to protect data sharing in service provider like cloud contexts through this study. Data owners can employ identity-based encryption to send data to the cloud which is encrypted by data owner, while proxy re-encryption allows valid users to access the data. Because the connective devices in IOT have limited resources, an integrated edge devices or edge device works as a server that act as a proxy to conduct demanding calculations [3][5][1]. In addition, we leverage ICN characteristics in proxy for distributing cached material efficiently, making excellent use of blockchain and boosting service quality, a revolutionary technology which promotes decentralisation while data exchange. Inefficiencies in centralised systems can be reduced and achieves finely arranged data access management. An alternative to the present Internet architecture, Information-Centric Networking (ICN), mainly concentrates on the distributing the content or the information and retrieval of content rather than the flow of information or content between specified finale stage or endpoints [5]. In the Information centric network, we can see the usage of caches where during high communication traffic network lines mostly the transforming of the data is being avoid from the source to the consumers. Here the copies are placed in on-path in-network caching and this focus is done in this study. Based on the popularity rate of the content or the data, Prob-PD method, calculations of each nodes distance ration, from the result of caching performance, cache’s hit rate cache’s replacement rate and data delivery times, the study is done. To that end, comparison of simulation results is compared early for the caching approach with existing alternatives, demonstrating considerable algorithm benefits which are proposed.