Smart Health and Cybersecurity in the Era of Artificial Intelligence

Abstract

The need for a transformation in providing healthcare has been recognized by organizations and captured in reports. Research into Smart Health using Artificial Intelligence (AI) could help identify the mental health of individuals by analyzing physiological data. The complexity of emotions can make it challenging for an individual to recognize they are coping with mental illness. AI could be used as an objective method in recognizing mental health crisis. This is where smart emotion could help as a Human-in-the-loop system that can reduce the time it takes for an individual to get treatment by identifying mental illness. Early treatment of mental health crises can lead to an overall reduction in damage caused by it. Further, COVID-19 has overwhelmed many healthcare systems, leading malicious actors to target them, highlighting many Cybersecurity issues. AI could aid in addressing Cybersecurity concerns to create a robust and secure Human-in-the-Loop system for mental health problems.

Intelligence-based Network Security System to Predict the Possible Threats in Healthcare Data

“…e authors of the [2] have tried to solve the problem of re-counseling security and privacy issues by implementing decision support mechanisms and specific planning strategies.…”

“…Every concept based on artificial intelligence might have some relations with neither machine learning (ML) nor deep learning (DL). However, such concepts are utilized once the proper algorithm is fetched into the machines [2]. Artificial intelligence is being functioned in all such cases.…”