Abstract
The recent developments in fog computing architecture and cloud of things (CoT) technology includes data mining management and artificial intelligence operations. However, one of the major challenges of this model is vulnerability to security threats and cyber-attacks against the fog computing layers. In such a scenario, each of the layers are susceptible to different intimidations, including the sensed data (edge layer), computing and processing of data (fog (layer), and storage and management for public users (cloud). The conventional data storage and security mechanisms that are currently in use appear to not be suitable for such a huge amount of generated data in the fog computing architecture. Thus, the major focus of this research is to provide security countermeasures against medical data mining threats, which are generated from the sensing layer (a human wearable device) and storage of data in the cloud database of internet of things (IoT). Therefore, we propose a public-permissioned blockchain security mechanism using elliptic curve crypto (ECC) digital signature that that supports a distributed ledger database (server) to provide an immutable security solution, transaction transparency and prevent the patient records tampering at the IoTs fog layer. The blockchain technology approach also helps to mitigate these issues of latency, centralization, and scalability in the fog model.
Highlights
Data mining has become an emerging area in the Internet of Things (IoT) and many other technological applications
Authorized medical personnel can access data from these blockchains that are distributively installed on different fog layers
The cloud computing model described in this paper was developed for securing remote patient medical data acquisition by dividing it into three layers using the ECC digital signature for hashing key generation for the blockchain transactions
Summary
Data mining has become an emerging area in the Internet of Things (IoT) and many other technological applications. Data mining utilizes data for driving the digital economy in business model services and industries [1]. These data can be generated from different areas of smart technology applications, such as healthcare, smart cities, and smart agriculture. The objective of the study of [3] was to offer a solution for security and intrusion issues To realize this goal, they proposed a model based on the blockchainInternet of things model, which is equipped with a bio-sensor that estimates and gathers real time data regarding a patient’s medical status and stores these data in the blockchain
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