Secure Tourist Tracking Using Fully Homomorphic Encryption in a Robotics Information System
Lujin Dersani, Ihab Elaff · Preprints.org · 2025
Tourists often face challenges such as language barriers and limited access to reliable information. To address this, a Robotics Information System (RIS) was developed using a humanoid robot named Arslan to assist visitors in real-time. The system manages sensitive data, including travel history, requiring strong encryption. Traditional methods like DES and AES were found inadequate, prompting the adoption of Fully Homomorphic Encryption (FHE), which enables computations on encrypted data without decryption. A mathematical tracking model encodes tourist movements securely. Performance tests show that while FHE introduces computational overhead, it ensures high privacy and resilience against modern attacks. This approach enhances tourist experience and ensures secure, real-time data handling in smart tourism environments.