Affiliation:
1. National Institute of Fashion Technology, New Delhi, India
2. SRM Institute of Science and Technology, Chennai, India
3. MSEIT, MATS University, India
Abstract
Digital health communication (DHC) has become an increasingly popular domain of the healthcare industry, enabling effective and efficient communication between healthcare providers, patients, and other stakeholders. However, the growing importance of digital platforms and the exchange of sensitive health information also present cybersecurity challenges. This chapter explains the utilization of AI-based cybersecurity in DHC to enhance security and protect patient privacy. Artificial intelligence (AI) plays an important role in cybersecurity by enabling advanced threat detection, rapid response, and intelligent risk management. AI algorithms can analyze large amounts of data, identify patterns, and detect potential security breaches or malicious activities in real-time. By adding AI-based cybersecurity solutions, DHC platforms can enhance their security measures and protect sensitive patient data. In DHC, AI-based cybersecurity can be utilized to ensure secure data transmission and storage.
Reference32 articles.
1. The power of deep learning for detecting software vulnerabilities.;G.Bavota;Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering (ASE),2016
2. Big Data and Machine Learning in Health Care
3. How to exploit machine learning for personalized medicine: On the importance of integrating molecular and clinical information to support breast cancer patients.;K.Denecke;Briefings in Bioinformatics,2019
4. Dermatologist-level classification of skin cancer with deep neural networks
5. A Novel Approach to Predict Chronic Kidney Disease using Machine Learning Algorithms