MPauth: A Single Message Identification Method of Internet of Medical Things

Abstract

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.