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Title:Data breaches in healthcare: security mechanisms for attack mitigation
Authors:ID Nemec Zlatolas, Lili (Author)
ID Welzer-Družovec, Tatjana (Author)
ID Lhotska, Lenka (Author)
Files:.pdf s10586-024-04507-2.pdf (1,48 MB)
MD5: C3851402AE831D60BD97B3A5B926E536
 
URL https://link.springer.com/article/10.1007/s10586-024-04507-2
 
Language:English
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:The digitalisation of healthcare has increased the risk of cyberattacks in this sector, targeting sensitive personal information. In this paper, we conduct a systematic review of existing solutions for data breach mitigation in healthcare, analysing 99 research papers. There is a growing trend in research emphasising the security of electronic health records, data storage, access control, and personal health records. The analysis identified the adoption of advanced technologies, including Blockchain and Artificial Intelligence, alongside encryption in developing resilient solutions. These technologies lay the foundations for addressing the prevailing cybersecurity threats, with a particular focus on hacking or malicious attacks, followed by unauthorised access. The research highlights the development of strategies to mitigate data breaches and stresses the importance of technological progress in strengthening data security. The paper outlines future directions, highlighting the need for continuous technological progress and identifying the gaps in the attack mitigations.
Keywords:data security, privacy, sensitive personal information, electronic health records, cybersecurity
Publication status:Published
Publication version:Version of Record
Submitted for review:19.12.2023
Article acceptance date:03.04.2024
Publication date:13.04.2024
Publisher:Kluwer (Springer Link)
Year of publishing:2024
Number of pages:16 str.
PID:20.500.12556/DKUM-90158 New window
UDC:004.6
ISSN on article:1573-7543
COBISS.SI-ID:192678403 New window
DOI:10.1007/s10586-024-04507-2 New window
Copyright:© The Author(s) 2024
Publication date in DKUM:23.08.2024
Views:458
Downloads:32
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Cluster computing
Shortened title:Cluster comput.
Publisher:Kluwer
ISSN:1573-7543
COBISS.SI-ID:513137689 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P2-0057
Name:Informacijski sistemi

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:varstvo podatkov, zasebnost, občutljive osebne informacije


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