SEMMI: Multi-party Security Decision-making Scheme Under the Internet of Medical Things

Li, C; Yang, L; Yu, S; Qin, W; Ma, J

SEMMI: Multi-party Security Decision-making Scheme Under the Internet of Medical Things

Li, C Yang, L Yu, S

Qin, W Ma, J

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Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Conference Proceeding
Citation:: IEEE International Conference on Communications, 2022, 2022-May, pp. 2792-2797
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Li, C
dc.contributor.author	Yang, L
dc.contributor.author	Yu, S https://orcid.org/0000-0003-4485-6743
dc.contributor.author	Qin, W
dc.contributor.author	Ma, J
dc.date	2022-05-16
dc.date.accessioned	2023-04-11T04:09:31Z
dc.date.available	2023-04-11T04:09:31Z
dc.date.issued	2022-01-01
dc.identifier.citation	IEEE International Conference on Communications, 2022, 2022-May, pp. 2792-2797
dc.identifier.isbn	9781538683477
dc.identifier.issn	1550-3607
dc.identifier.uri	http://hdl.handle.net/10453/169573
dc.description.abstract	In the Internet of Medical Things, the intelligent auxiliary decision-making system uses machine learning algorithms to analyze medical data for disease diagnosis, auxiliary intervention, and analysis and early warning. However, in the process of medical data transmission, processing, and storage, a large amount of private information is also at risk of leakage. Therefore, this article proposes a smart classification and decision-making program in the Internet of Medical Things scenario-SEMMI, which can effectively deal with the risk of data leakage in the process of medical data processing. At the same time, it reduces the huge computing and storage pressure caused by encryption and decryption operations in medical institutions. In the scheme, data collection, processing, transmission, storage and calculation are completed by ciphertext. In addition, in view of the relatively weak computing and storage capabilities of sensor nodes, we use chaos theory to construct a stream cipher algorithm to ensure the security of transmission from sensor to user; the homomorphic encryption algorithm is used to ensure the computability of the ciphertext and the security of storage. Through security analysis, it can be concluded that this scheme can resist attacks from adversaries; at the same time, the experimental results show that the scheme has good performance in terms of calculation, storage overhead, accuracy, and so on.
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	IEEE International Conference on Communications
dc.relation.ispartof	ICC 2022 - IEEE International Conference on Communications
dc.relation.isbasedon	10.1109/ICC45855.2022.9838957
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	SEMMI: Multi-party Security Decision-making Scheme Under the Internet of Medical Things
dc.type	Conference Proceeding
utslib.citation.volume	2022-May
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access	*
dc.date.updated	2023-04-11T04:09:30Z
pubs.finish-date	2022-05-20
pubs.publication-status	Published
pubs.start-date	2022-05-16
pubs.volume	2022-May

Abstract:

In the Internet of Medical Things, the intelligent auxiliary decision-making system uses machine learning algorithms to analyze medical data for disease diagnosis, auxiliary intervention, and analysis and early warning. However, in the process of medical data transmission, processing, and storage, a large amount of private information is also at risk of leakage. Therefore, this article proposes a smart classification and decision-making program in the Internet of Medical Things scenario-SEMMI, which can effectively deal with the risk of data leakage in the process of medical data processing. At the same time, it reduces the huge computing and storage pressure caused by encryption and decryption operations in medical institutions. In the scheme, data collection, processing, transmission, storage and calculation are completed by ciphertext. In addition, in view of the relatively weak computing and storage capabilities of sensor nodes, we use chaos theory to construct a stream cipher algorithm to ensure the security of transmission from sensor to user; the homomorphic encryption algorithm is used to ensure the computability of the ciphertext and the security of storage. Through security analysis, it can be concluded that this scheme can resist attacks from adversaries; at the same time, the experimental results show that the scheme has good performance in terms of calculation, storage overhead, accuracy, and so on.

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http://hdl.handle.net/10453/169573