IntelliMedAssist: Integration of AI and ML for Secured Healthcare Assistance in MIoT Applications

IntelliMedAssist: Integration of AI and ML for Secured Healthcare Assistance in MIoT Applications

Jeya Mala D., Padmavathy T. V., Pradeep Reynold A.
Copyright: © 2023 |Pages: 10
DOI: 10.4018/978-1-6684-5422-0.ch002
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Abstract

The research work focuses on the highly important and sensitive research area of detection and prevention of vulnerabilities associated with data processing in MIoT devices when accessed through the network. This work analyzes the application of AI and ML techniques in MIoT applications along with security and privacy threats in medical IoT (MIoT) environment for real-time systems and proposes a framework to address them. It proceeds to the development of an innovative real-time research work by devising mechanisms to prevent the attacks in IoT devices.
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Introduction

Objectives of the Chapter

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    Explore the critical areas of research associated with Cyber Security in connected MIoT devices.

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    Explore the application of AI and ML in Edge Analytics for data protection in IoT data storage and processing.

Research Questions

The following are some of the research questions that are going to be addressed during this research work.

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    How cyber attacks on MIoT environments can introduce risks in life critical medical appliances?

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    How to verify and authenticate the origin of MIoT devices to detect and prevent spoofing attacks?

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    What preventive measures can be taken to (1) avoid data breaches, (2) provide access control mechanisms for sensitive data, (3) validate the accuracy of data ?

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    What is the cost factor involved in achieving cyber security for MIoT devices in sensitive healthcare applications.

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Literature Survey

Some of the existing works done in this area that shows the importance of the proposed work are given in Table 1.

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