An IoT-Based Anonymous Function for Security and Privacy in Healthcare Sensor Networks
Autor: | S. M. Riazul Islam, Zeng Guang Liu, Lewis Nkenyereye, Bruce Ndibanje, Xiao Chun Yin |
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Rok vydání: | 2019 |
Předmět: |
IoT
Computer science Internet of Things Context (language use) 02 engineering and technology Data breach Biosensing Techniques security Encryption computer.software_genre Computer security lcsh:Chemical technology privacy Biochemistry Article Analytical Chemistry 0202 electrical engineering electronic engineering information engineering Humans lcsh:TP1-1185 Electrical and Electronic Engineering wireless sensor networks Instrumentation business.industry Communication healthcare 020206 networking & telecommunications Atomic and Molecular Physics and Optics Information sensitivity Malware 020201 artificial intelligence & image processing The Internet business computer Wireless sensor network Delivery of Health Care Algorithms Anonymity anonymous function |
Zdroj: | Sensors (Basel, Switzerland) Sensors Volume 19 Issue 14 Sensors, Vol 19, Iss 14, p 3146 (2019) |
ISSN: | 1424-8220 |
Popis: | In the age of the Internet of Things, connected devices are changing the delivery system in the healthcare communication environment. With the integration of IoT in healthcare, there is a huge potential for improvement of the quality, safety, and efficiency of health care in addition to promising technological, economical, and social prospects. Nevertheless, this integration comes with security risks such as data breach that might be caused by credential-stealing malware. In addition, the patient valuable data can be disclosed when the perspective devices are compromised since they are connected to the internet. Hence, security has become an essential part of today&rsquo s computing world regarding the ubiquitous nature of the IoT entities in general and IoT-based healthcare in particular. In this paper, research on the algorithm for anonymizing sensitive information about health data set exchanged in the IoT environment using a wireless communication system has been presented. To preserve the security and privacy, during the data session from the users interacting online, the algorithm defines records that cannot be revealed by providing protection to user&rsquo s privacy. Moreover, the proposed algorithm includes a secure encryption process that enables health data anonymity. Furthermore, we have provided an analysis using mathematical functions to valid the algorithm&rsquo s anonymity function. The results show that the anonymization algorithm guarantees safety features for the considered IoT system applied in context of the healthcare communication systems. |
Databáze: | OpenAIRE |
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