Securing Insulin Pump System Using Deep Learning and Gesture Recognition

Usman Ahmad, Hong Song, Awais Bilal, Shahzad Saleem, Asad Ullah

科研成果: 书/报告/会议事项章节会议稿件同行评审

18 引用 (Scopus)

摘要

Modern medical devices are equipped with radio communication chips enabling medical practitioners to remotely and continuously monitor patient's health. The conjunction of these medical devices with the radio communication chips and their internet connectivity exposes them to security and privacy risks. The insulin pump system is an autonomous, wearable external device, commonly used by diabetic patients to take insulin efficiently, as compared to manual injection through a syringe. Security attacks may disrupt the working of insulin pump system by delivering the lethal dose to patients and endanger their lives. In this paper, we ensure the correct dosing process of insulin pump system based on the combination of deep learning model and gestures performed by the patient. Specifically, we used Long Short-Term Memory (LSTM) recurrent neural network to predict the thresh hold value of insulin based on last three months log of insulin pump system. If the amount of insulin to be injected by the insulin pump system is greater than our predicted thresh hold amount, then our system asks the patient to perform the gesture. After successful recognition of the patient's gesture, our solution compares the suspicious value of insulin with patient's gesture and identifies an attack.

源语言英语
主期刊名Proceedings - 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018
出版商Institute of Electrical and Electronics Engineers Inc.
1716-1719
页数4
ISBN(印刷版)9781538643877
DOI
出版状态已出版 - 5 9月 2018
活动17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018 - New York, 美国
期限: 31 7月 20183 8月 2018

出版系列

姓名Proceedings - 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018

会议

会议17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018
国家/地区美国
New York
时期31/07/183/08/18

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引用此

Ahmad, U., Song, H., Bilal, A., Saleem, S., & Ullah, A. (2018). Securing Insulin Pump System Using Deep Learning and Gesture Recognition. 在 Proceedings - 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018 (页码 1716-1719). 文章 8456126 (Proceedings - 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TrustCom/BigDataSE.2018.00258