Smart healthcare systems enabled by edge computing

UNSTRUCTURED Processing medical data, diagnosing diseases, determining the best possible medical centers or physicians, and recommending the more effective remedies or drugs in the earliest time are the most important challenges to deploy intelligent systems for healthcare purposes. Hence, utilization of the Internet of Medical Things (IoMT) with Edge Computing (EC) technology will result in a strong network to aggregate the healthcare data more reliably and solve the aforementioned challenges. However, the administration of the millions of individuals with a wide variety of physical or mental disorders is another challenge associated with the use of such Artificial Intelligence-based platforms, especially when it comes to a large number of insurance conditions and companies. Furthermore, although the EC-based platforms can increase the security of the data, there are still vulnerable to face some cyber-attacks. Thus, the privacy of sensitive personal information of patients should be considered. Blockchain is a suitable option to overcome the problems associated with medical documentation and administration of patient’s affairs using smart contracts. An EC-based platform based on blockchain to improve the weaknesses of conventional smart healthcare systems is rendered in this research. The proposed platform takes the advantage of both EC and blockchain in the terms of speed, security, accuracy, and bandwidth. It should be noted that this method could be utilized as a flexible infrastructure for the next generation healthcare systems using any kind of crypto network like Bitcoin, Ethereum, Cardano, etc.

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Opportunistic Edge Computing Architecture for Smart Healthcare Systems

Advances in Data Mining and Database Management - Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics ◽

10.4018/978-1-7998-3053-5.ch013 ◽

2021 ◽

pp. 289-306

Author(s):

Nivethitha V. ◽

Aghila G.

Keyword(s):

Cloud Computing ◽

Healthcare Systems ◽

Edge Computing ◽

Healthcare Applications ◽

Sensitive Data ◽

Network Resource ◽

Computing Architecture ◽

Healthcare Data ◽

Smart Healthcare ◽

Network Response Time

Some of the largest global industries that is driving smart city environments are anywhere and anytime health monitoring applications. Smart healthcare systems need to be more preventive and responsive as they deal with sensitive data. Even though cloud computing provides solutions to the smart healthcare applications, the major challenge imposed on cloud computing is how could the centralized traditional cloud computing handle voluminous data. The existing models may encounter problems related to network resource utilization, overheads in network response time, and communication latency. As a solution to these problems, edge-oriented computing has emerged as a new computing paradigm through localized computing. Edge computing expands the compute, storage, and networking capabilities to the edge of the network which will respond to the above-mentioned issues. Based on cloud computing and edge computing, in this chapter an opportunistic edge computing architecture is introduced for smart provisioning of healthcare data.

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Security in Smart Healthcare System: A Comprehensive Survey

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse.v7i10.423 ◽

2017 ◽

Vol 7 (10) ◽

pp. 39

Author(s):

P. Jeyadurga ◽

S. Ebenezer Juliet ◽

I. Joshua Selwyn ◽

P. Sivanisha

Keyword(s):

Secure Communication ◽

Smart Cities ◽

Healthcare Systems ◽

Internet Security ◽

Security Risk ◽

System A ◽

Smart Healthcare ◽

Comprehensive Survey ◽

Healthcare Monitoring ◽

The Internet Of Things

The Internet of things (IoT) is one of the emerging technologies that brought revolution in many application domains such as smart cities, smart retails, healthcare monitoring and so on. As the physical objects are connected via internet, security risk may arise. This paper analyses the existing technologies and protocols that are designed by different authors to ensure the secure communication over internet. It additionally focuses on the advancement in healthcare systems while deploying IoT services.

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IoT‐Enabled Smart Healthcare Systems, Services and Applications

10.1002/9781119816829 ◽

2022 ◽

Keyword(s):

Healthcare Systems ◽

Smart Healthcare

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OPTIMIZING TELEMEDICINE FRAMEWORK USING FOG COMPUTING FOR SMART HEALTHCARE SYSTEMS

10.36227/techrxiv.16649170 ◽

2021 ◽

Author(s):

Michael Enbibel

Keyword(s):

Data Management ◽

Healthcare System ◽

Data Flow ◽

System Organization ◽

Fog Computing ◽

Healthcare Systems ◽

Distributed Data ◽

Smart Healthcare ◽

Network Latency

This research is done for optimizing telemedicine framework by using fogging or fog computing for smart healthcare systems. Fog computing is used to solve the issues that arise on telemedicine framework of smart healthcare system like Infrastructural, Implementation, Acceptance, Data Management, Security, Bottleneck system organization, and Network latency Issues. we mainly used Distributed Data Flow (DDF) method using fog computing in order to fully solve the listed issues.

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Internet of Things-based Smart Healthcare Systems: Real-Time Patient-Generated Medical Data from Networked Wearable Devices

American Journal of Medical Research ◽

10.22381/ajmr7120203 ◽

2020 ◽

Vol 7 (1) ◽

pp. 21

Keyword(s):

Internet Of Things ◽

Real Time ◽

Healthcare Systems ◽

Wearable Devices ◽

Medical Data ◽

Smart Healthcare

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Malware Detection Approaches and Analysis for the Internet of Medical Things Enabled Healthcare Systems

International Journal of Advanced Trends in Computer Science and Engineering ◽

10.30534/ijatcse/2021/061062021 ◽

2021 ◽

Vol 10 (6) ◽

pp. 3117-3121

Keyword(s):

Denial Of Service ◽

Malware Detection ◽

Healthcare Systems ◽

Information And Communications Technology ◽

The Internet ◽

Smart Healthcare ◽

Man In The Middle ◽

Internet Of Medical Things ◽

Detection Schemes ◽

The Internet Of Things

The advancement of information and communications technology has changed an IoMT-enabled healthcare system. The Internet of Medical Things (IoMT) is a subset of the Internet of Things (IoT) that focuses on smart healthcare (medical) device connectivity. While the Internet of Medical Things (IoMT) communication environment facilitates and supports our daily health activities, it also has drawbacks such as password guessing, replay, impersonation, remote hijacking, privileged insider, denial of service (DoS), and man-in-the-middle attacks, as well as malware attacks. Malware botnets cause assaults on the system's data and other resources, compromising its authenticity, availability, confidentiality and, integrity. In the event of such an attack, crucial IoMT communication data may be exposed, altered, or even unavailable to authorised users. As a result, malware protection for the IoMT environment becomes critical. In this paper, we provide several forms of malware attacks and their consequences. We also go through security, privacy, and different IoMT malware detection schemes

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Securing Smart Healthcare Systems from Vulnerability Exploitation

Communications in Computer and Information Science - Smart City and Informatization ◽

10.1007/978-981-15-1301-5_24 ◽

2019 ◽

pp. 295-308

Author(s):

Gemini George ◽

Sabu M. Thampi

Keyword(s):

Healthcare Systems ◽

Smart Healthcare

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Cloud-Based Healthcare Systems

Advances in Systems Analysis, Software Engineering, and High Performance Computing - Emerging Research in Cloud Distributed Computing Systems ◽

10.4018/978-1-4666-8213-9.ch010 ◽

2015 ◽

pp. 315-338

Author(s):

Ahmed Shawish ◽

Maria Salama

Keyword(s):

Gross Domestic Product ◽

Mobile Computing ◽

Population Health ◽

Developed Countries ◽

Healthcare Systems ◽

It Infrastructure ◽

Research Issues ◽

Comprehensive Review ◽

Smart Healthcare ◽

And Storage

Healthcare is one of the most important sectors in all countries and significantly affects the economy. As such, the sector consumes an average of 9.5% of the gross domestic product across the most developed countries; they should invoke smart healthcare systems to efficiently utilize available resources, vastly handle spontaneous emergencies, and professionally manage the population health records. With the rise of the Cloud and Mobile Computing, a vast variety of added values have been introduced to software and IT infrastructure. This chapter provides a comprehensive review on the new Cloud-based and mobile-based applications that have been developed in the healthcare field. Cloud's availability, scalability, and storage capabilities, in addition to the Mobile's portability, wide coverage, and accessibility features, contributed to the fulfillment of healthcare requirements. The chapter shows how Cloud and Mobile opened a new environment for innovative services in the healthcare field and discusses the open research issues.

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Healthcare IoT Architectures, Technologies, Applications, and Issues

Advances in Healthcare Information Systems and Administration - Intelligent Systems for Healthcare Management and Delivery ◽

10.4018/978-1-5225-7071-4.ch011 ◽

2019 ◽

pp. 235-265 ◽

Cited By ~ 1

Author(s):

Karthick G. S. ◽

Pankajavalli P. B.

Keyword(s):

Medical Devices ◽

Healthcare Systems ◽

Streaming Data ◽

Machine Learning Techniques ◽

Layered Architecture ◽

Smart Healthcare ◽

Learning Techniques ◽

The Internet Of Things ◽

Human Healthcare ◽

Patient Centric

The internet of things (IoT) revolution is improving the proficiency of human healthcare infrastructures, and this chapter analyzes the applications of IoT in healthcare systems with diversified aspects such as topological arrangement of medical devices, layered architecture, and platform services. This chapter focuses on advancements in IoT-based healthcare in order to identify the communication and sensing technologies enabling the smart healthcare systems. The transformation of healthcare from doctor-centric to patient-centric with the diversified applications of IoT is discussed in detail. In addition, this chapter examines the various issues to be emphasized on designing an effective IoT-based healthcare system. It also explores security in healthcare systems and the possible security threats that may be vulnerable to the security essentials. Finally, this chapter summarizes the procedure of applying machine learning techniques on healthcare streaming data which provides intelligence to the systems.

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