Securing Smart Healthcare Systems from Vulnerability Exploitation

2019 ◽  
pp. 295-308
Author(s):  
Gemini George ◽  
Sabu M. Thampi
Keyword(s):  
Healthcare Systems ◽  
Smart Healthcare

Security in Smart Healthcare System: A Comprehensive Survey

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.

scholarly journals OPTIMIZING TELEMEDICINE FRAMEWORK USING FOG COMPUTING FOR SMART HEALTHCARE SYSTEMS

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.

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

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

Cloud-Based Healthcare Systems

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.

Healthcare IoT Architectures, Technologies, Applications, and Issues

2019 ◽  
pp. 235-265 ◽  
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.

A Multi-Disciplinary Approach to Ambient Assisted Living

2011 ◽  
pp. 76-93 ◽  
Author(s):  
Martina Ziefle ◽  
Carsten Röcker ◽  
Wiktoria Wilkowska ◽  
Kai Kasugai ◽  
Lars Klack ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Assisted Living ◽  
Ambient Assisted Living ◽  
Medical Engineering ◽  
Interdisciplinary Approach ◽  
Healthcare Systems ◽  
Living Environment ◽  
Smart Healthcare ◽  
Interdisciplinary Research Project ◽  
Independent Life

This chapter illustrates the different disciplinary design challenges of smart healthcare systems and presents an interdisciplinary approach toward the development of an integrative Ambient Assisted Living environment. Within the last years a variety of new healthcare concepts for supporting and assisting users in technology-enhanced environments emerged. While such smart healthcare systems can help to minimize hospital stays and in so doing enable patients an independent life in a domestic environment, the complexity of such systems raises fundamental questions of behavior, communication and technology acceptance. The first part of the chapter describes the research challenges encountered in the fields of medical engineering, computer science, psychology, communication science, and architecture as well as their consequences for the design, use and acceptance of smart healthcare systems. The second part of the chapter shows how these disciplinary challenges were addressed within the eHealth project, an interdisciplinary research project at RWTH Aachen University.

Smart Healthcare IoT Applications Using AI

2022 ◽  
pp. 238-257
Author(s):  
Hema D.
Keyword(s):  
Human Health ◽  
Healthcare Professionals ◽  
Healthcare Systems ◽  
The Internet ◽  
Iot Applications ◽  
Prompt Treatment ◽  
Holter Monitor ◽  
Smart Healthcare ◽  
Healthcare Application ◽  
Diagnose Monitor

Globally, healthcare professionals strive to diagnose, monitor, and save human lives. An application that advances the medical field to the next level is the need of the hour. Smart healthcare systems using IoT help in the process of monitoring human health by minimizing human intervention. Taking care and monitoring of human health has a significant contribution in declining the mortality rate as well. IoT in healthcare has aided smarter communications and prompt treatment to save lives. Patient data are sensed by sensors/microcontrollers, sent over the internet, stored in the cloud, and received by healthcare professionals during emergencies. Applications of such smart healthcare using IoT are blood glucose meters, medical vehicles, sphygmomanometer, pulse oximeter, Holter monitor, etc. This chapter elucidates several smart healthcare IoT applications using artificial intelligence and cloud computing technology. The chapter also elaborates the importance and functions of various cloud and AI components in designing a smart healthcare application.

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