Security and Privacy in Cloud-Based E-Health System

Abstract

Cloud based healthcare computing have changed the face of healthcare in many ways. The main advantages of cloud computing in healthcare are scalability of the required service and the provision to upscale or downsize the data storge, collaborating Artificial Intelligence (AI) and machine learning. The current paper examined various research studies to explore the utilization of intelligent techniques in health systems and mainly focused into the security and privacy issues in the current technologies. Despite the various benefits related to cloud-computing applications for healthcare, there are different types of management, technology handling, security measures, and legal issues to be considered and addressed. The key focus of this paper is to address the increased demand for cloud computing and its definition, technologies widely used in healthcare, their problems and possibilities, and the way protection mechanisms are organized and prepared when the company chooses to implement the latest evolving service model. In this paper, we focused on a thorough review of current and existing literature on different approaches and mechanisms used in e-Health to deal with security and privacy issues. Some of these approaches have strengths and weaknesses. After selecting original articles, the literature review was carried out, and we identified several models adopted in their solutions. We arrived at the reviewed articles after comparing the models used.

Using Identity-Based Cryptography as a Foundation for an Effective and Secure Cloud Model for E-Health

“…Wireless transmission and larger key sizes impact the power consumption of mobile devices the most [ 4 – 7 ]. Cloud based medical care registering has changed the substance of medical care in numerous ways [ 8 ]. The critical advantages of distributed computing in medical care are the versatility of the administrations and the works to upscale or decrease the information storage and intrigue Artificial Intelligence (AI) and AI.…”

MEDICLOUD: a holistic study on the digital evolution of medical data

“…Previous works are always a source of inspiration. Several previous studies have been done in the cloud computing and medical fields and there must have been certain ways in which previous studies would have been conducted [ [16] , [17] , [18] , [19] , [20] , [21] , [22] , [23] , [24] , [25] ] . This segment throws light on such studies and provides a background on how this study will merge the breeding technology of cloud computing with the continuous evolution of medical science.…”

“…SIVAN et al [ 22 ] analyzed the cloud-computing schemes for e-Health systems, security challenges, and solutions. They had focused on a few advantages of cloud computing, such as access using web browsers with built-in single-sign-on (SSO), no need for virtual private network (VPN) to utilize cross-site or network resources, easy and improved management, scalability on demand, no maintenance costs associated with the physical architecture, and reduced power consumption.…”

Morton Filter-Based Security Mechanism for Healthcare System in Cloud Computing

“…Redundant records can be identified by implementing the accurate counting bloom filter [17]. Remya et al [18] presented a mechanism for the security of critical electronic health records (EHRs). In this mechanism, security can be achieved with the support of identity-based secure and encrypted datasharing techniques.…”