Filter Based Scalable Blockchain for Domestic Internet of Things

With the advancements in technology, the ease of interconnectedness among devices has increased manifold, leading to the widespread usage of Internet of Things. Internet of Things has also reached our homes, often referred to as domestic Internet of Things. However, the security aspect of domestic Internet of Things has largely been under question as the increase in inter-device communication renders the system more vulnerable to adversaries. Largely popular blockchain technology is being extensively researched for integration into the Internet of Things framework in order to improve the security aspect of the framework. Blockchain, being a cryptographically linked set of data, has a few barriers which prevent it from being successfully integrated to Internet of Things. One of the major barrier is the high computational requirements and time latency associated with it. This work tries to address this research gap and proposes a novel scalable blockchain optimization for domestic Internet of Things. The proposed blockchain model uses a flow based filtering technique as an added security layer to facilitate the scenario. This work then evaluates the performance of the proposed model in various scenarios and compares it with that of traditional blockchain. The work presents a largely encompassing evaluation, explanation and assessment of the proposed model.