TY - GEN
T1 - MPauth
T2 - 2022 IEEE Global Conference on Artificial Intelligence and Internet of Things, GCAIoT 2022
AU - Sadhu, Pintu Kumar
AU - Baul, Anik
AU - Yanambaka, Venkata P.
AU - Abdelgawad, Ahmed
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Technology advancement connects people to the digital world through the internet of things (IoT). Likewise, the internet of medical things (IoMT) is assisting patients and doctors to be connected with the help of medical devices. IoMT demands to maintain security and preserve privacy due to the sensitivity of data of the system. To protect the IoMT network, this paper proposes machine learning (ML) and physical unclonable function (PUF) based single message device identification (MPauth) method. The framework uses ML to control the PUF, which avoids the requirement of storage or communication. The method eliminates the maintaining the database of PUFs. The framework needs 2.27 ms computational time to identify the device with 40 bytes communication overhead. Moreover, the ML prediction shows 98.2% accuracy. Furthermore, formal (Burrows, Abadi, Needham (BAN) logic) and informal analysis are presented to show the resistance against known attacks.
AB - Technology advancement connects people to the digital world through the internet of things (IoT). Likewise, the internet of medical things (IoMT) is assisting patients and doctors to be connected with the help of medical devices. IoMT demands to maintain security and preserve privacy due to the sensitivity of data of the system. To protect the IoMT network, this paper proposes machine learning (ML) and physical unclonable function (PUF) based single message device identification (MPauth) method. The framework uses ML to control the PUF, which avoids the requirement of storage or communication. The method eliminates the maintaining the database of PUFs. The framework needs 2.27 ms computational time to identify the device with 40 bytes communication overhead. Moreover, the ML prediction shows 98.2% accuracy. Furthermore, formal (Burrows, Abadi, Needham (BAN) logic) and informal analysis are presented to show the resistance against known attacks.
KW - Authentication System
KW - Internet of Medical Things
KW - Machine Learning
KW - Physical Unclonable Function
UR - http://www.scopus.com/inward/record.url?scp=85147702794&partnerID=8YFLogxK
U2 - 10.1109/GCAIoT57150.2022.10019090
DO - 10.1109/GCAIoT57150.2022.10019090
M3 - Conference contribution
AN - SCOPUS:85147702794
T3 - 2022 IEEE Global Conference on Artificial Intelligence and Internet of Things, GCAIoT 2022
SP - 130
EP - 137
BT - 2022 IEEE Global Conference on Artificial Intelligence and Internet of Things, GCAIoT 2022
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 18 December 2022 through 21 December 2022
ER -