Biblio

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.

Emergency medical services universally get regarded as the essential part of the health care delivery system [1]. A relationship exists between the emergency patient death rate and factors such as the failure to access a patient's critical data and the time it takes to arrive at hospitals. Nearly thirty million Americans do not live within an hour of trauma care, so this poor access to trauma centers links to higher pre-hospital death rates in more than half of the United States [2]. So, we need to address the problem. In a patient care-cycle, loads of medical data items are born in different healthcare settings using a disparate system of records during patient visits. The ability for medical care providers to access a patient's complete picture of emergency-relevant medical data is critical and can significantly reduce the annual mortality rate. Today, the problem exists with a continuous recording system of the patient data between healthcare providers. In this paper, we've introduced a combination of secure file transfer methods/tools and blockchain technology as a solution to record patient Emergency relevant medical data as patient walk through from one clinic/medical facility to another, creating a continuous footprint of patient as a secure and scalable data source. So, ambulance crews can access and use it to provide high quality pre-hospital care. All concerns of medical record sharing and accessing like authentication, privacy, security, scalability and audibility, confidentiality has been considered in this approach.