Security of Internet of Things using Provenance Data Model with Blockchain

Abstract

Internet of Things has emerged as an area of high potential due to the confluence of multiple technologies and is having a great impact on consumer as well as industrial applications. The amount of IoT devices is estimated to be around 51 billion by 2020. Owing to the pervasive presence of IoT device, concerns have been raised on its privacy and security aspects. IoT devices have limited storage and computing ability leading to limitations in securing the devices and thus are more vulnerable to attacks. These limited resources hinder the ability to diagnose the incorrect behaviour of the devices leading to failure in detecting the root cause of the attacks. In this paper, we present a decentralized provenance data model, which generates data provenance providing the complete information of system activities of work-flows. Provenance graph and policy storage using block-chain is implemented to recreate the causal relationships in IoT defined areas. The existing provenance analysis is centralized and less secure therefore, we have proposed a decentralized architecture to increase the security. We have evaluated and compared the performance of decentralized provenance analysis in IoT devices with the normal system.