DTW based Authentication for Wireless Medical Device Security
المؤلف | Rathore H. |
المؤلف | Al-Ali A. |
المؤلف | Mohamed A. |
المؤلف | Du X. |
المؤلف | Guizani M. |
تاريخ الإتاحة | 2020-03-03T06:19:39Z |
تاريخ النشر | 2018 |
اسم المنشور | 2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018 |
المصدر | Scopus |
الملخص | Wireless medical devices play an important role in providing safety and privacy to patients suffering from major health issues. These light-weight devices can be worn inside or outside the patient's body and provide more convenience and reliable doctor-patient communication. However, the design, development, and usage of these devices play a critical role in present network paradigm. They are vulnerable to network threats and attacks which break the confidentiality, integrity and availability protocols in networking scenarios. Thus, it is important to have identification and authentication of only the authorized peoplewho can operate the device. This paper proposes Dynamic Time Warping (DTW) algorithm for providing trustedauthentication and identification of only authorized people using ECG signal. Here, DTW algorithm is used to measure the correlation between different ECG signal records. Experiments were carried out to evaluate the proposed algorithm with a large database consisting of users of al1 ages, including abnormal ECG data and long span of time intervals between ECG recordings for evaluating the reliability of the proposed algorithm. Comparative evaluation of the proposed sy stem show ed that, it is not only efficient, but also light weight in comparison to the existing systems. |
راعي المشروع | This publication was made possible by NPRP grant #8-408-2-172 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors. |
اللغة | en |
الناشر | Institute of Electrical and Electronics Engineers Inc. |
الموضوع | deep learning DTW dynamic time warping implantable medical devices insulin pumps machine learning Security |
النوع | Conference |
الصفحات | 476 - 481 |
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