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A qualitative spoofing detection system based on LSTMs for IoMT

Authors :

Iman Jafarian¹ Amirmasoud Sepehrian² Siavash Khorsandi³

1- دانشگاه صنعتی امیرکبیر 2- دانشگاه صنعتی امیرکبیر 3- دانشگاه صنعتی امیرکبیر

Keywords :

Spoof detection،Location،LSTM،Internet of medical things

Abstract :

The Internet of Medical Things represents a transformative paradigm in healthcare, integrating smart devices, sensors, and advanced connectivity technologies to revolutionize patient care, diagnosis, and treatment. One of the often overlooked yet critical aspects of the Internet of Medical Things is the importance of location data. Location data in this environment plays a vital role in enhancing patient care, optimizing healthcare workflows, and improving the efficiency of healthcare systems. This paper proposes a location spoofing detection system for the Internet of Medical Things networks. The proposed system used a generalized likelihood ratio test to detect spoofing and, by using the LSTM algorithm, improves the detection and makes it qualitative. The performance of this system evaluates with real-world datasets and synthetic data.

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