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1 *Corresponding author: [email protected]
2
Issues and Challenges Related to Privacy and Security in Healthcare Using IoT, Fog, and Cloud Computing
Hritu Raj, Mohit Kumar, Prashant Kumar*, Amritpal Singh and Om Prakash Verma
Dr. BR Ambedkar National Institute of Technology Jalandhar (Punjab), India
Abstract
In today’s era, the IoT (Internet of Things) introduced a new way to create a bond between devices and humans for enhancing and making life quite easy. The main purpose of attraction toward improving the healthcare industry with the latest technology is because IoT has proven great opportunity in smart offices, warehouses, smart homes, etc. So, IoT can also improve the healthcare industry very well. The healthcare sensor generates health-related data like blood pressure, blood glucose, blood temperature, ECG, and much more. These devices produce very large amounts of data, which need to be processed, filtered, and stored securely and efficiently. In this paper, we will discuss the complete architecture with various challenges and security risks of the next-generation healthcare industry with healthcare IoT sensor and fog computing. This paper also consists of some methodology used in various research papers to address the security and privacy related in IoT, fog, and cloud computing environment.
Keywords: Internet of Things, healthcare, fog computing, cloud computing, security, privacy
2.1 Introduction
IoT (Internet of Things) is very trending system consists of a variety of sensors, networking devices, microcomputer or microprocessor, optimized software, and different objects. To exchange data among each other, IoT devices, computers servers, and even cloud for data processing Apat et al. [24]. The demand of IoT devices is increasing day by day, and this will create a large opportunity for the IoT industry and researchers. Figure 2.1 illustrates healthcare using IoT. From the last few years, the sensor industry has evolved from making tiny sensors like photodetectors, temperature sensors, and hall sensors to more advanced sensors like blood glucose sensor, oxygen saturation level sensor, and ECG. With integration of fog computing and cloud, it facilitates the disease prediction of certain kinds and can get future insights of different diseases. The IoT system comprises various things like wearable IoT sensors, adaptive network interfaces, and optimized software integration module to cloud. Sensors are used to collect health-related data of sick patient with devices like oximeter for measuring oxygen saturation percentage in blood, blood pressure meter for measuring systolic blood pressure as well as diastolic blood pressure in arteries, blood glucose meter for measuring concentration of blood glucose using tiny drop of blood taken from human body, weight sensor for periodic measurement of patient weight for further analysis, and temperature sensor for monitoring real-time body temperature data.
Fall detection sensor for detection of accidental fall is using accelerometer and gyroscope and more advanced sensors like ECG for measuring electrical heart activity at rest. Adaptive networking interface provides support for a large number of networking protocols to easily integrate with different networking devices and software with enhanced algorithms to process health-related data efficiently and accurately Multag et al. [25]. There are a number of other uses of IoT devices. There are, like in fitness, a variety of fitness trackers available in the market for measuring daily activity like heart rate, sleep time, and running and walking time and also provide an interface for calling and messaging from right to the wrist. Companies offering these types of devices are Apple, Samsung, Fitbit, Xiaomi, etc. Next use of IoT devices is in smart homes, where the
