Generative AI for Healthcare Security: Addressing Privacy Challenges through Anomaly Detection in Healthcare Communications
- Title
- Generative AI for Healthcare Security: Addressing Privacy Challenges through Anomaly Detection in Healthcare Communications
- Creator
- Natarajan, Arul Kumar; Upreti, Kamal; Kshirsagar, Pravin R.; Tak, Tan Kuan
- Description
- Cybersecurity within the healthcare sector is paramount due to the sensitive nature of patient data and critical healthcare services. This chapter explores the role of Generative AI (GAI), particularly using BERT embeddings and the Isolation Forest algorithm, in enhancing cybersecurity measures. It begins by discussing the significance of cybersecurity in healthcare and the potential threats healthcare organizations face, emphasizing the need for robust security measures to protect patient data and ensure uninterrupted healthcare services. The chapter provides an overview of GAI and its applications in cybersecurity, focusing on its ability to detect anomalies in healthcare communications. A detailed case study demonstrates the practical implementation of GAI techniques for anomaly detection in healthcare emails, highlighting the effectiveness of BERT embeddings and Isolation Forest in identifying potential security breaches. Furthermore, the chapter discusses the broader implications of generative AI in healthcare cybersecurity, addressing privacy concerns and ethical considerations. The findings underscore the importance of integrating advanced AI technologies with robust privacy-preserving measures to safeguard patient data while promoting technological innovation in healthcare cybersecurity. 2025 selection and editorial matter, Anoop V.S., Suhasini Verma, Usharani Hareesh Govindarajan.
- Source
- Advances in Artificial Intelligence for Healthcare Applications;pp.60-71
- Date
- 01-01-2025
- Publisher
- CRC Press
- Coverage
- Natarajan A.K., Samarkand International University of Technology, Samarkand, Uzbekistan; Upreti K., Christ (Deemed to be University), Delhi NCR, India; Kshirsagar P.R., J D College of Engineering & Management, Maharashtra, Nagpur, India; Tak T.K., Singapore Institute of Technology, Punggol, Singapore
- Rights
- Restricted Access; Hardcopy may be available in the library
- Relation
- ISBN: 978-104035486-5; 978-103282187-0;
- Format
- online
- Language
- English
- Type
- Book chapter
Collection
Citation
Natarajan, Arul Kumar; Upreti, Kamal; Kshirsagar, Pravin R.; Tak, Tan Kuan, “Generative AI for Healthcare Security: Addressing Privacy Challenges through Anomaly Detection in Healthcare Communications,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/24349.