TY - GEN
T1 - DTW based Authentication for Wireless Medical Device Security
AU - Rathore, Heena
AU - Al-Ali, Abdulla
AU - Mohamed, Amr
AU - Du, Xiaojiang
AU - Guizani, Mohsen
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/8/28
Y1 - 2018/8/28
N2 - 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.
AB - 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.
KW - DTW
KW - Security
KW - deep learning
KW - dynamic time warping
KW - implantable medical devices
KW - insulin pumps
KW - machine learning
UR - http://www.scopus.com/inward/record.url?scp=85053179315&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85053179315&partnerID=8YFLogxK
U2 - 10.1109/IWCMC.2018.8450419
DO - 10.1109/IWCMC.2018.8450419
M3 - Conference contribution
AN - SCOPUS:85053179315
SN - 9781538620700
T3 - 2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018
SP - 476
EP - 481
BT - 2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018
T2 - 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018
Y2 - 25 June 2018 through 29 June 2018
ER -