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Informative Article | Data & Knowledge Engineering | India | Volume 10 Issue 1, January 2021 | Rating: 5.3 / 10
Cybersecurity in Healthcare IoT Devices: Studying the Vulnerabilities and Defence Mechanisms for IoT devices used in Healthcare Settings
Abstract: IoT adoption in the healthcare Industry referred to as the Internet of Medical Things (IoMT) offers a boost towards improving patient care through continuous monitoring and collection of data. It aims at identifying the privacy and security risks which need to be addressed in the context of connected healthcare IoT devices. It will involve trying to regularly analyse network traffic data and establish the patterns associated with it. This method includes using the secondary data from sources including Kaggle and applying machine learning using Python including the K - means clustering models and ARIMA models to expose variability as well as prospecting cyber threats in the network traffic. There is a dire need for improving security measures like secure data encryption, optimum authentication techniques and constant network monitoring. The findings on personnel and device vulnerability confirm that healthcare organizations must implement a strong preventive strategy to safeguard patient information and confidence in medical equipment. The healthcare IoT should adopt both symmetric and asymmetric encryptions, as well as artificial intelligence security solutions to contain threats and enhance safety against cyber threats.
Keywords: Internet of Things (IoT), Internet of Medical Things (IoMT), Cybersecurity threats, Message Queuing Telemetry Transport (MQTT), defence mechanisms, Healthcare
Edition: Volume 10 Issue 1, January 2021,
Pages: 1675 - 1681