A machine learning approach for detecting cybersecurity vulnerabilities in the internet of medical things
Oragwu, Ukamaka, Aziz, Benjamin and Rezvy, Shahadate (2025) A machine learning approach for detecting cybersecurity vulnerabilities in the internet of medical things. Knowledge-Based Systems, 327. ISSN 1872-7409
| ![[img]](https://bnu.repository.guildhe.ac.uk/style/images/fileicons/text.png) | Text 205969_Oragwn_Aziz_Shahadate.pdf - Accepted Version Restricted to Repository staff only until 21 July 2027. Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (1MB) | Request a copy | 
      Access this via: https://doi.org/10.1016/j.knosys.2025.114150
    
  
  
  
  | Item Type: | Article | 
|---|---|
| Depositing User: | RED Unit Admin | 
| Date Deposited: | 29 Jul 2025 11:38 | 
| Last Modified: | 11 Aug 2025 10:40 | 
| URI: | https://bnu.repository.guildhe.ac.uk/id/eprint/20569 | 
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