Cloud Data Provenance using IPFS and Blockchain Technology

Abstract

Cloud is widely used for data storage. A user who has uploaded his/her private or commercial data to the cloud is always keen to know whether the data that he/she has stored is secure or not. Access logs of stored data can be used to trace the integrity of the data. Access logs are also known as provenance data. Provenance data contains private information of users. As provenance data can be used to check the integrity so, it becomes very important to securely store the provenance data. The stored provenance data should be immutable and also unreachable to adversaries, as it contains private information of users. Cloud users will be assured of their stored data, and Cloud Storage Providers can use this implementation to improve their brand value and performance. This paper aims at providing an efficient way to store provenance data securely using Blockchain technology and InterPlanetary File System (IPFS) so that it is out of reach of adversaries. This paper also proposed a framework through which a user can verify the integrity of its own data. This model is implemented, tested and analyzed using IPFS which is a decentralized storage mechanism backed by blockchain to store cloud provenance data and uses publicly available Tierion api to store the hash value of the provenance entries.