TY - GEN
T1 - Preserving Patients’ Privacy in Medical IoT Using Blockchain
AU - Alamri, Bandar
AU - Javed, Ibrahim Tariq
AU - Margaria, Tiziana
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - Medical IoT is a collection of devices and applications that are connected to healthcare systems via the Internet. Wearable devices and body sensors are used to track individuals’ medical conditions. The collected data is processed, analyzed, and stored in the cloud platforms to provide healthcare services. The data does not only include personal information like users’ identity and location but also consists of sensitive information such as mental status, drug addiction, sexual orientation, and genetics. Therefore, preserving an individual’s privacy remains a huge challenge for IoT service providers. The existing techniques significantly reduce the originality of data which affects the application’s efficiency. Therefore, in this paper, we propose the idea of using blockchains and smart contract to preserve privacy while obtaining data usability.
AB - Medical IoT is a collection of devices and applications that are connected to healthcare systems via the Internet. Wearable devices and body sensors are used to track individuals’ medical conditions. The collected data is processed, analyzed, and stored in the cloud platforms to provide healthcare services. The data does not only include personal information like users’ identity and location but also consists of sensitive information such as mental status, drug addiction, sexual orientation, and genetics. Therefore, preserving an individual’s privacy remains a huge challenge for IoT service providers. The existing techniques significantly reduce the originality of data which affects the application’s efficiency. Therefore, in this paper, we propose the idea of using blockchains and smart contract to preserve privacy while obtaining data usability.
KW - Blockchain
KW - Healthcare
KW - IoT
KW - Privacy
KW - Security
UR - http://www.scopus.com/inward/record.url?scp=85092105809&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-59824-2_9
DO - 10.1007/978-3-030-59824-2_9
M3 - Conference contribution
AN - SCOPUS:85092105809
SN - 9783030598235
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 103
EP - 110
BT - Edge Computing – EDGE 2020 - 4th International Conference, Held as Part of the Services Conference Federation, SCF 2020, Proceedings
A2 - Katangur, Ajay
A2 - Lin, Shih-Chun
A2 - Wei, Jinpeng
A2 - Yang, Shuhui
A2 - Zhang, Liang-Jie
PB - Springer Science and Business Media Deutschland GmbH
T2 - 4th International Conference on Edge Computing, EDGE 2020, held as part of the Services Conference Federation, SCF 2020
Y2 - 18 September 2020 through 20 September 2020
ER -