An IoMT cybersecurity vulnerability study: medjacking attacks on artificial pancreas devices
Nazir, Fahad (2024) An IoMT cybersecurity vulnerability study: medjacking attacks on artificial pancreas devices. PhD thesis, James Cook University.
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DOI: 10.25903/y1fs-2y36
View at Publisher Website: https://doi.org/10.25903/y1fs-2y36
Abstract
Fahad Nazir investigated medjacking in APS devices and developed H-IDS. In anomaly detection, an autoencoder model was trained and tested. In signature detection, MLP, DT, SVM, and XGBoost models were trained and tested.
| Item ID: | 94012 |
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| Item Type: | Thesis (PhD) |
| Keywords: | The Internet of Things, medical devices, cybersecurity, Continuous Glucose Monitoring, Artificial Pancreas System, medicaljacking |
| Copyright Information: | Copyright © 2024 Fahad Nazir |
| Date Deposited: | 09 Sep 2026 05:02 |
| FoR Codes: | 32 BIOMEDICAL AND CLINICAL SCIENCES > 3206 Medical biotechnology > 320699 Medical biotechnology not elsewhere classified @ 100% |
| SEO Codes: | 24 MANUFACTURING > 2412 Machinery and equipment > 241205 Medical machinery and equipment @ 100% |
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