Secure Smart Nutrition Systems
Abstract
Smart nutrition systems deliver personalized dietary solutions by transforming personal health management by integrating artificial intelligence, IoT, and autonomous technologies. This digital evaluation system handles personal sensitive health data, influences critical dietary decisions, and interacts with broader healthcare networks, which introduces significant cyber security challenges. This chapter discusses the required need for context security framework tailored to the dynamic and personalized nature of smart nutrition technologies. It includes vulnerabilities and recent high-profile breeches. It also explores the limitation of traditional security models and importance of real-time threat detection and privacy preserving strategies.
Fields of Study & Subjects
IoT and Edge/Fog Computing
Nutrition
Genetics
and Disease
Nutritional Studies and Diet
Publication details
- Journal / source
- Advances in computational intelligence and robotics book series
- Pages
- 341–398
- Publication date
- 8 January 2026
- Document type
- Book chapter