A novel physiological features-assisted architecture for rapidly distinguishing health problems from hardware Trojan attacks and errors in medical devices-Reference-Cited by-同舟云学术

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A novel physiological features-assisted architecture for rapidly distinguishing health problems from hardware Trojan attacks and errors in medical devices

Published:2017-05 Issue: Volume: Page:
ISSN:
Container-title:2017 IEEE International Symposium on Hardware Oriented Security and Trust (HOST)
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Author:

Wehbe Taimour,Mooney Vincent J.,Javaid Abdul Qadir,Inan Omer T.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7940186/7951727/07951807.pdf?arnumber=7951807

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. FAMID: False Alarms Mitigation in IoMT Devices;Internet of Things. Advances in Information and Communication Technology;2023-10-26

2. Secure data sharing with blockchain for remote health monitoring applications: a review;Journal of Reliable Intelligent Environments;2023-05-11

3. A review of security issues and solutions for precision health in Internet-of-Medical-Things systems;Security and Safety;2023

4. Trojan Resilience in Implantable and Wearable Medical Devices with Virtual Biosensing;2022 IEEE 40th International Conference on Computer Design (ICCD);2022-10

5. DeepCAD: A Stand-alone Deep Neural Network-based Framework for Classification and Anomaly Detection in Smart Healthcare Systems;2022 IEEE International Conference on Digital Health (ICDH);2022-07

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