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Abstract

ABSTRACT

The Internet of Things (IoT) technology is everywhere; they are making things more intelligent and connected, from smart cities to transport systems to homes, especially in the healthcare industry. This paper focuses on IoT in the healthcare domain. One of the major threats is structured query language (SQL) injections. An SQL injection attack is well known as a significant web application vulnerability. Given the potential future attacks from a prediction perspective in the healthcare domain, the other consequences of SQL injection attacks have yet to be well known. This study investigates the most common trend of SQL injection attacks. A systematic review method was carried out in this study. Reviewers selected, analysed and outlined 38 eligible studies. The reviewed literature reveals that IoT technologies are the most common and recent target of SQL injection attacks. The findings are necessary to shape the future of robust IoT security, especially in the healthcare domain, to ensure patients' safety and privacy. This paper suggests some strategies and standards that could help reduce and eliminate the risk of SQL injection in healthcare systems. As a result, it can help engineers develop robust security mechanisms to protect medical IoT devices from SQL attacks.

Details

1009240
Business indexing term
Title
IoT Security in Healthcare: A Recent Trend and Predictive Study of SQL Injection Attacks
Author
Raoof, Mohammed Mohammed 1   VIAFID ORCID Logo  ; Aldaghmi, Norah 2 ; Aljuaid, Haifa 3 

 The Center for Information Systems & Technology (CISAT), Claremont Graduate University, Claremont, USA 
 Northern Border University, Arar, Saudi Arabia 
 Qassim University, Buraydah, Saudi Arabia 
Publication title
Volume
2025
Issue
1
Number of pages
10
Publication year
2025
Publication date
Jan/Dec 2025
Section
REVIEW
Publisher
John Wiley & Sons, Inc.
Place of publication
London
Country of publication
United States
Publication subject
ISSN
20513305
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-06-19
Milestone dates
2025-06-19 (publishedOnlineFinalForm); 2024-08-16 (manuscriptReceived); 2025-06-04 (manuscriptAccepted)
Publication history
 
 
   First posting date
19 Jun 2025
ProQuest document ID
3285471024
Document URL
https://www.proquest.com/scholarly-journals/iot-security-healthcare-recent-trend-predictive/docview/3285471024/se-2?accountid=208611
Copyright
© 2025. This work is published under http://creativecommons.org/licenses/by/4.0/ (the "License"). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-12-22
Database
2 databases
  • ProQuest One Academic
  • ProQuest One Academic