Privacy and Security in AI-Driven Mental Health Apps

Privacy and Security in AI-Driven Mental Health Apps, Volume 1, examines the critical intersection of computer science, data security, and mental health technology. This comprehensive text addresses the ethical management of sensitive behavioral and psychological data within AI-powered applications. It analyzes systemic vulnerabilities, including cyberattacks and data breaches, while exploring the legal requirements of regulatory frameworks like GDPR and HIPAA.

The book provides technical solutions for programming and app development, focusing on encryption, blockchain integration, and federated learning. By blending perspectives from social sciences and network security, this volume offers a detailed look at privacy-preserving approaches and cryptography. It serves as a professional guide for developers and policymakers working within the fields of security and encryption to maintain user trust and ethical integrity in digital healthcare.