IRTUM – Institutional Repository of the Technical University of Moldova
Analysis of cloud biomedical healthcare systems security based on matrix rewriting SRNs with fuzzy parameters
JavaScript is disabled for your browser. Some features of this site may not work without it.
| dc.contributor.author | MОRАRU, Viсtоr | |
| dc.contributor.author | SCLIFOS, Alexei | |
| dc.contributor.author | CUZMIN, Simion | |
| dc.contributor.author | GUȚULEAC, Emilian | |
| dc.date.accessioned | 2024-12-05T17:05:11Z | |
| dc.date.available | 2024-12-05T17:05:11Z | |
| dc.date.issued | 2024 | |
| dc.identifier.citation | MОRАRU, Viсtоr; Alexei SCLIFOS; Simion CUZMIN and Emilian GUȚULEAC. Analysis of cloud biomedical healthcare systems security based on matrix rewriting SRNs with fuzzy parameters. In: Electronics, Communications and Computing (IC ECCO-2024): The conference program and abstract book: 13th intern. conf., Chişinău, 17-18 Oct. 2024. Technical University of Moldova. Chişinău: Tehnica-UTM, 2024, pp. 41-42. ISBN 978-9975-64-480-8 (PDF). | en_US |
| dc.identifier.isbn | 978-9975-64-480-8 | |
| dc.identifier.uri | http://repository.utm.md/handle/5014/28719 | |
| dc.description | Only Abstract | en_US |
| dc.description.abstract | Cloud-based Biomedical and Healthcare Systems (CBHS) play an important role in providing access to services for solving widespread problems related to biomedical complications. The sensitive nature of data in CBHS presents considerable challenges regarding its security and privacy, at the same time, CBHS are more susceptible to cyber-attacks compared to conventional computer systems. One of the key functions of the CHBS is the centralized data processing using cloud computing technologies. The aims of this article are the modelling and analyzing of the defense process against cyber-attacks in CBHS. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Technical University of Moldova | en_US |
| dc.relation.ispartofseries | Electronics, Communications and Computing (IC ECCO-2024): 13th intern. conf., 17-18 Oct. 2024; | |
| dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
| dc.subject | systems security | en_US |
| dc.subject | biomedical healthcare | en_US |
| dc.subject | support mechanism | en_US |
| dc.subject | fuzzy numbers | en_US |
| dc.subject | target defense | en_US |
| dc.subject | performability modeling | en_US |
| dc.subject | rewriting rules | en_US |
| dc.subject | stochastic Petri nets | en_US |
| dc.title | Analysis of cloud biomedical healthcare systems security based on matrix rewriting SRNs with fuzzy parameters | en_US |
| dc.type | Article | en_US |
Files in this item
The following license files are associated with this item:
This item appears in the following Collection(s)
-
2024
The 13th International Conference on Electronics, Communications and Computing (IC ECCO-2024)
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States