A Review on Security and Privacy Concern in IoT Health Care

Author(s):  
Joy Chatterjee ◽  
Manab Kumar Das ◽  
Sayon Ghosh ◽  
Atanu Das ◽  
Rajib Bag
2020 ◽  
pp. 16-30
Author(s):  
Mukesh Soni ◽  
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YashKumar Barot ◽  
...  

Health care information has great potential for improving the health care system and also providing fast and accurate outcomes for patients, predicting disease outbreaks, gaining valuable information for prediction in future, preventing such diseases, reducing healthcare costs, and improving overall health. In any case, deciding the genuine utilization of information while saving the patient's identity protection is an overwhelming task. Regardless of the amount of medical data it can help advance clinical science and it is essential to the accomplishment of all medicinal services associations, at the end information security is vital. To guarantee safe and solid information security and cloud-based conditions, It is critical to consider the constraints of existing arrangements and systems for the social insurance of information security and assurance. Here we talk about the security and privacy challenges of high-quality important data as it is used mainly by the healthcare structure and similar industry to examine how privacy and security issues occur when there is a large amount of healthcare information to protect from all possible threats. We will discuss ways that these can be addressed. The main focus will be on recently analyzed and optimized methods based on anonymity and encryption, and we will compare their strengths and limitations, and this chapter closes at last the privacy and security recommendations for best practices for privacy of preprocessing healthcare data.


2017 ◽  
Author(s):  
Leming Zhou ◽  
Bambang Parmanto ◽  
James Joshi

BACKGROUND The widespread application of technologies such as electronic health record systems, mobile health apps, and telemedicine platforms, has made it easy for health care providers to collect relevant data and deliver health care regimens. While efficacious, these new technologies also pose serious security and privacy challenges. OBJECTIVE The training program described here aims at preparing well-informed health information security and privacy professionals with enhanced course materials and various approaches. METHODS A new educational track has been built within a health informatics graduate program. Several existing graduate courses have been enhanced with new security and privacy modules. New labs and seminars have been created, and students are being encouraged to participate in research projects and obtain real-world experience from industry partners. Students in this track receive both theoretical education and hands-on practice. Evaluations have been performed on this new track by conducting multiple surveys on a sample of students. RESULTS We have succeeded in creating a new security track and developing a pertinent curriculum. The newly created security materials have been implemented in multiple courses. Our evaluation indicated that students (N=72) believed that receiving security and privacy training was important for health professionals, the provided security contents were interesting, and having the enhanced security and privacy training in this program was beneficial for their future career. CONCLUSIONS The security and privacy education for health information professionals in this new security track has been significantly enhanced.


Author(s):  
Puspanjali Mallik

The internet of things (IoT) fulfils abundant demands of present society by facilitating the services of cutting-edge technology in terms of smart home, smart healthcare, smart city, smart vehicles, and many more, which enables present day objects in our environment to have network communication and the capability to exchange data. These wide range of applications are collected, computed, and provided by thousands of IoT elements placed in open spaces. The highly interconnected heterogeneous structure faces new types of challenges from a security and privacy concern. Previously, security platforms were not so capable of handling these complex platforms due to different communication stacks and protocols. It seems to be of the utmost importance to keep concern about security issues relating to several attacks and vulnerabilities. The main motive of this chapter is to analyze the broad overview of security vulnerabilities and its counteractions. Generally, it discusses the major security techniques and protocols adopted by the IoT and analyzes the attacks against IoT devices.


Author(s):  
Muawya N. Al Dalaien ◽  
Ameur Bensefia ◽  
Salam A. Hoshang ◽  
Abdul Rahman A. Bathaqili

In recent years the Internet of Things (IoT) has rapidly become a revolutionary technological invention causing significant changes to the way both corporate computing systems, and even household gadgets and appliances, are designed and manufactured. The aim of this chapter is to highlight the security and privacy issues that may affect the evolution of IoT technology. The privacy issues are discussed from customer perspectives: first, the IoT privacy concern where the privacy debates on IoT and the IoT privacy that reflected from users' perspective based on the examination of previous researches results. In addition, the different architectures for IoT are discussed. Finally, the chapter discusses the IoT security concern by collecting, analyzing and presenting the major IoT security concerns in the literature as well as providing some potential solutions to these concerns.


Author(s):  
Masoud Mohammadian ◽  
Ric Jentzsch

Radio frequency identification (RFID) is a promising technology for improving services and reduction of cost in health care. Accurate almost real time data acquisition and analysis of patient data and the ability to update such a data is a way to improve patients care and reduce cost in health care systems. This article employs wireless radio frequency identification technology to acquire patient data and integrates wireless technology for fast data acquisition and transmission, while maintaining the security and privacy issues. An intelligent agent framework is proposed to assist in managing patients health care data in a hospital environment. A data classification method based on fuzzy logic is proposed and developed to improve the data security and privacy of data collected and propagated.


2016 ◽  
Vol 04 (02) ◽  
pp. 102-107
Author(s):  
Neera Gupta ◽  
Tushar Dixit ◽  
Vikram K.

AbstractMake in India is a flagship campaign from the Government of India which is aimed at various sectors. Indian health-care system can take advantages by introducing digital technologies to health care. The possible uses of health information technology as a method to engage with people involving communicable and noncommunicable diseases (NCDs) are wide-ranging. Health information technology can support interventions for prevention, diagnosis, managing surveillance, disease monitoring, and treatment compliance of many conditions. Digital health can offer various technologies such as wearables that are tracked by various mobile or smartphone applications to facilitates patient engagement, self-monitoring, and implementing behavior changes in NCDs such as diabetes. By incorporating the interactive audiovisual items, the digital health tools can create greater interest and engage people from different geographies, age, gender, and culture. Currently, the common digital heath tech issues include hesitancy from doctors to adopt any new product or technology, difficulty in reaching and accessing the needy patients, cultural diversity in population, and inadequate infrastructure. The ethical issues of consent, data security, and privacy of patients need to be addressed as they are highly sensitive in nature.


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