TY - CHAP
T1 - Digital health or Internet of Things in Tele-Health
T2 - A Survey of security issues, security attacks, sensors, algorithms, data storage, implementation platforms, and frameworks
AU - Hettikankanamage, Nadeesha D.
AU - Halgamuge, Malka N.
N1 - Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2021/1/5
Y1 - 2021/1/5
N2 - Digital health is tied to connecting points of care electronically. Medical data can be shared and stored securely; hence, monitoring and securing access to personal data can be controlled. Due to the significant advancement of technology, digital healthcare is becoming more sophisticated and vulnerable. This chapter aims to observe the impact of information technology on the digital health paradigm, especially Internet of Things (IoT) in telehealth, or Internet of Medical Things (IoMT). The data is extracted from 30 peer-reviewed publications that discussed security issues, security attacks, sensors/wearable devices, data storage, programming languages, encryption and cryptographic algorithms, transmission media, techniques/mechanism, standards/legislation/principles, methodologies/models, implementation platforms and frameworks proposed to enhance the security of digital health systems. Our results demonstrate that the healthcare sector is experiencing data breaches due to unauthorized access for medical data. Furthermore, results show that unauthorized access led to creating other security issues such as the modification and injection of messages into the network, the changing of codes, and data leakage. Digital health solutions are capable of care management, advancing patients’ health, increasing patients’ satisfaction and promoting preventive care. Information security specialists and the government need to pay more attention to ensure the confidentiality and integrity of patients’ highly sensitive medical data. The increasingly tight connection between artificial Intelligence, machine learning, robotics to digital health was not taken into account in this analysis.
AB - Digital health is tied to connecting points of care electronically. Medical data can be shared and stored securely; hence, monitoring and securing access to personal data can be controlled. Due to the significant advancement of technology, digital healthcare is becoming more sophisticated and vulnerable. This chapter aims to observe the impact of information technology on the digital health paradigm, especially Internet of Things (IoT) in telehealth, or Internet of Medical Things (IoMT). The data is extracted from 30 peer-reviewed publications that discussed security issues, security attacks, sensors/wearable devices, data storage, programming languages, encryption and cryptographic algorithms, transmission media, techniques/mechanism, standards/legislation/principles, methodologies/models, implementation platforms and frameworks proposed to enhance the security of digital health systems. Our results demonstrate that the healthcare sector is experiencing data breaches due to unauthorized access for medical data. Furthermore, results show that unauthorized access led to creating other security issues such as the modification and injection of messages into the network, the changing of codes, and data leakage. Digital health solutions are capable of care management, advancing patients’ health, increasing patients’ satisfaction and promoting preventive care. Information security specialists and the government need to pay more attention to ensure the confidentiality and integrity of patients’ highly sensitive medical data. The increasingly tight connection between artificial Intelligence, machine learning, robotics to digital health was not taken into account in this analysis.
KW - Big medical data
KW - Digital health
KW - IoMT
KW - Remote monitoring
KW - Security issues
UR - http://www.scopus.com/inward/record.url?scp=85101091941&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85101091941&partnerID=8YFLogxK
UR - https://link.springer.com
U2 - 10.1007/978-981-15-9897-5_13
DO - 10.1007/978-981-15-9897-5_13
M3 - Chapter (peer-reviewed)
AN - SCOPUS:85101091941
SN - 9789811598968
T3 - Studies in Computational Intelligence
SP - 263
EP - 292
BT - IoT in healthcare and ambient assisted living
A2 - null, Gonçalo Marques
A2 - , Akash Kumar Bhoi
A2 - , Victor Hugo C. de Albuquerque
A2 - , Hareesha K.S.
PB - Springer
CY - Singapore
ER -